<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GitHub on Hanguangwu</title><link>https://blog.zwzhang.com/en/categories/github/</link><description>Recent content in GitHub on Hanguangwu</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>hanguangwu</copyright><lastBuildDate>Sat, 30 May 2026 12:34:25 -0800</lastBuildDate><atom:link href="https://blog.zwzhang.com/en/categories/github/index.xml" rel="self" type="application/rss+xml"/><item><title>Awesome Law Tech</title><link>https://blog.zwzhang.com/en/p/awesome-law-tech/</link><pubDate>Sat, 30 May 2026 12:34:25 -0800</pubDate><guid>https://blog.zwzhang.com/en/p/awesome-law-tech/</guid><description>&lt;h1 id="awesome-legaltech"&gt;Awesome Legaltech
&lt;/h1&gt;&lt;p&gt;&lt;a class="link" href="https://github.com/Vaquill-AI/awesome-legaltech" target="_blank" rel="noopener"
&gt;Legal technology (legaltech)&lt;/a&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;blockquote&gt;
&lt;p&gt;A curated list of awesome legal technology resources - open source platforms, AI models, MCP servers, companies, datasets, and tools for the global legal ecosystem.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Legal technology (legaltech) is the use of technology and software to provide legal services, automate legal work, and make law more accessible. This list covers open-source tools, commercial platforms, AI/ML models built for law, and organizations (both for-profit and non-profit) working at the intersection of law and technology.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="apis-for-legal-data"&gt;APIs for Legal Data
&lt;/h2&gt;&lt;p&gt;Commercial and open APIs specifically designed for retrieving case law, statutes, and legal documents into applications.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://vaquill.ai/legal-api" target="_blank" rel="noopener"
&gt;Vaquill AI API&lt;/a&gt; - Developer API providing programmatic access to 8M+ US federal and state court opinions plus the complete US Code and CFR, with semantic search and citation verification. &lt;em&gt;(Sponsor)&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.courtlistener.com/help/api/" target="_blank" rel="noopener"
&gt;CourtListener REST API&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; Free Law Project API over 9M+ opinions, dockets, judges, and RECAP/PACER filings; free tier plus semantic search endpoint (Nov 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://legiscan.com/legiscan" target="_blank" rel="noopener"
&gt;LegiScan API&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; Structured JSON for legislation in all 50 states + Congress; free tier (30K queries/month) with paid plans.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://docs.openstates.org/api-v3/" target="_blank" rel="noopener"
&gt;Open States API v3&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; Free REST API for US state legislators, bills, votes, and committees across 50 states + DC + territories.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://data.uspto.gov/" target="_blank" rel="noopener"
&gt;USPTO Open Data Portal API&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; Free patent file-wrapper, search, and PEDS endpoints; replaces the legacy beta ODP.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.epo.org/searching-for-patents/data/web-services/ops.html" target="_blank" rel="noopener"
&gt;EPO Open Patent Services (OPS)&lt;/a&gt; - &lt;strong&gt;[🇪🇺 EU]&lt;/strong&gt; Free RESTful API for EPO/WIPO/national patent bibliographic data, family info, and legal status (registered-user quota).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.lens.org/lens/user/subscriptions" target="_blank" rel="noopener"
&gt;The Lens Patent &amp;amp; Scholarly API&lt;/a&gt; - &lt;strong&gt;[🌍 Global]&lt;/strong&gt; 140M+ global patent records and scholarly citations; free tier for academic/non-commercial use.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://eur-lex.europa.eu/content/help/data-reuse/webservice.html" target="_blank" rel="noopener"
&gt;EUR-Lex Webservice &amp;amp; CELLAR SPARQL&lt;/a&gt; - &lt;strong&gt;[🇪🇺 EU]&lt;/strong&gt; Free SOAP/SPARQL/REST endpoints for EU legislation, ECLI-indexed case law, and CDM-RDF metadata across 24 languages.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://api.gouv.fr/les-api/api-judilibre" target="_blank" rel="noopener"
&gt;JudiLibre API (Cour de cassation)&lt;/a&gt; - &lt;strong&gt;[🇫🇷 France]&lt;/strong&gt; Official French Supreme Court open API for judicial case-law via PISTE; free with registration.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://developer.parliament.uk/" target="_blank" rel="noopener"
&gt;UK Parliament Open Data API&lt;/a&gt; - &lt;strong&gt;[🇬🇧 UK]&lt;/strong&gt; REST APIs for Westminster procedural data plus the &lt;a class="link" href="https://hansard-api.parliament.uk/" target="_blank" rel="noopener"
&gt;Hansard API&lt;/a&gt; for debates in JSON/XML under the Open Parliament Licence.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.bundestag.de/services/opendata" target="_blank" rel="noopener"
&gt;Bundestag Open Data&lt;/a&gt; - &lt;strong&gt;[🇩🇪 Germany]&lt;/strong&gt; Plenary protocols and Drucksachen since 1949 as XML/JSON; legislative-process tracking via the DIP API.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://open.gsa.gov/api/regulationsgov/" target="_blank" rel="noopener"
&gt;Regulations.gov API&lt;/a&gt; / &lt;a class="link" href="https://www.federalregister.gov/developers/documentation/api/v1" target="_blank" rel="noopener"
&gt;Federal Register API&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; GSA REST APIs for federal rules, dockets, and public comments; complementary daily Federal Register API.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="machine-learning-datasets--corpora"&gt;Machine Learning Datasets &amp;amp; Corpora
&lt;/h2&gt;&lt;p&gt;Curated datasets of legal texts, case law, statutes, and contracts - organized by task. Most are openly available for research.&lt;/p&gt;
&lt;h3 id="data-extraction--processing-tools"&gt;Data Extraction &amp;amp; Processing Tools
&lt;/h3&gt;&lt;p&gt;Libraries and scripts for scraping, parsing, and processing legal text to build datasets.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/freelawproject/juriscraper" target="_blank" rel="noopener"
&gt;Juriscraper&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Python library for scraping US court websites (400+ courts, PACER).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/freelawproject/eyecite" target="_blank" rel="noopener"
&gt;Eyecite&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Legal citation extraction and analysis tool by Free Law Project.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/iliaschalkidis/LegalCrawler" target="_blank" rel="noopener"
&gt;LegalCrawler&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Scripts to crawl and build English legal corpora from public court websites.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/ICLRandD/Blackstone" target="_blank" rel="noopener"
&gt;Blackstone&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; 🇬🇧 spaCy NLP pipeline and model for unstructured UK legal text (NER, citations).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/ELS-RD/anonymisation" target="_blank" rel="noopener"
&gt;French Legal Case Anonymization&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; NER-based pseudo-anonymization of French court decisions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/shcherbak-ai/contextgem" target="_blank" rel="noopener"
&gt;ContextGem&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Python framework for LLM-based extraction from legal and business documents with declarative concept/aspect schemas.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/OpenNyAI/Opennyai" target="_blank" rel="noopener"
&gt;Opennyai&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; End-to-end Python NLP pipeline for Indian legal documents (NER, rhetorical-role labeling, summarization).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/raindrum/citeurl" target="_blank" rel="noopener"
&gt;CiteURL&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Extensible Python citation parser that turns US/UK/EU legal citations into hyperlinks; complements Eyecite with broader jurisdictional templates.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/isaacus-dev/open-australian-legal-corpus-creator" target="_blank" rel="noopener"
&gt;Open Australian Legal Corpus Creator&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Scripts to build the open multijurisdictional corpus of Australian legislation and case law.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="pretraining-corpora--bulk-data"&gt;Pretraining Corpora &amp;amp; Bulk Data
&lt;/h3&gt;&lt;p&gt;Large text corpora and jurisdiction-wide raw data dumps for pretraining or fine-tuning legal language models.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/pile-of-law/pile-of-law" target="_blank" rel="noopener"
&gt;Pile of Law&lt;/a&gt; - &lt;strong&gt;[🇺🇸 EN]&lt;/strong&gt; - &lt;strong&gt;[~256 GB]&lt;/strong&gt; - US legal and administrative text; used to train CaseLawBERT&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/joelito/Multi_Legal_Pile" target="_blank" rel="noopener"
&gt;MultiLegalPile&lt;/a&gt; - &lt;strong&gt;[🌍 24 langs]&lt;/strong&gt; - &lt;strong&gt;[689 GB]&lt;/strong&gt; - Multilingual legal pretraining corpus from 17 jurisdictions&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/lexlms/lex_files" target="_blank" rel="noopener"
&gt;LeXFiles&lt;/a&gt; - &lt;strong&gt;[🌍 6 sys]&lt;/strong&gt; - &lt;strong&gt;[19B tokens]&lt;/strong&gt; - Massive English legal corpus (EU, CoE, Canada, US, UK, India)&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://indiankanoon.org" target="_blank" rel="noopener"
&gt;Indian Kanoon Dataset&lt;/a&gt; - &lt;strong&gt;[🇮🇳 EN]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Indian court judgments and statutes; widely used for Indian legal NLP&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://joint-research-centre.ec.europa.eu/language-technology-resources/jrc-acquis_en" target="_blank" rel="noopener"
&gt;JRC-Acquis&lt;/a&gt; - &lt;strong&gt;[🇪🇺 22 langs]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Massive parallel corpus of total EU law used heavily in multilingual machine translation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://eur-lex.europa.eu" target="_blank" rel="noopener"
&gt;EUR-Lex&lt;/a&gt; - &lt;strong&gt;[🇪🇺 24 langs]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Official EU legislation and case law in all EU official languages&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/umarbutler/open-australian-legal-corpus" target="_blank" rel="noopener"
&gt;Open Australian Legal Corpus&lt;/a&gt; - &lt;strong&gt;[🇦🇺 EN]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Multijurisdictional corpus of Australian legislative and judicial documents&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/allenai/s2orc" target="_blank" rel="noopener"
&gt;S2ORC (Legal Subset)&lt;/a&gt; - &lt;strong&gt;[🌍 EN]&lt;/strong&gt; - &lt;strong&gt;[136M+]&lt;/strong&gt; - AllenAI&amp;rsquo;s massive academic paper corpus containing deep legal reasoning/law review articles&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.courtlistener.com/help/api/bulk-data/" target="_blank" rel="noopener"
&gt;CourtListener Bulk Data&lt;/a&gt; - &lt;strong&gt;[🇺🇸 EN]&lt;/strong&gt; - &lt;strong&gt;[9M+]&lt;/strong&gt; - US court opinions, judge data, and oral argument metadata dumps&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://free.law/recap/" target="_blank" rel="noopener"
&gt;RECAP Archive&lt;/a&gt; - &lt;strong&gt;[🇺🇸 EN]&lt;/strong&gt; - &lt;strong&gt;[Huge]&lt;/strong&gt; - Largest open collection of US federal PACER documents and dockets&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://case.law" target="_blank" rel="noopener"
&gt;Caselaw Access Project (CAP)&lt;/a&gt; - &lt;strong&gt;[🇺🇸 EN]&lt;/strong&gt; - &lt;strong&gt;[6.9M]&lt;/strong&gt; - US court decisions from Harvard Law School, 1600s-2020&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.oyez.org/" target="_blank" rel="noopener"
&gt;Oyez Project Audio&lt;/a&gt; - &lt;strong&gt;[🇺🇸 EN]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Premier archive of US Supreme Court multimodal audio and aligned text transcripts&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.wipo.int/wipolex/" target="_blank" rel="noopener"
&gt;WIPO Lex&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Global database of IP laws/treaties and WIPO Lex-Judgments for selected IP case law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ssrn.com/" target="_blank" rel="noopener"
&gt;SSRN (Legal Scholarship Network)&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Open repository of legal scholarship, preprints, and academic law papers.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://openalex.org/" target="_blank" rel="noopener"
&gt;OpenAlex&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - &lt;strong&gt;[Huge]&lt;/strong&gt; - Scholarly metadata and abstracts with a robust API; useful for legal literature mining.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/HUPD/hupd" target="_blank" rel="noopener"
&gt;HUPD (Harvard USPTO Patent Dataset)&lt;/a&gt; - &lt;strong&gt;[🇺🇸 EN]&lt;/strong&gt; - &lt;strong&gt;[4.5M+]&lt;/strong&gt; - Inventor-submitted US utility patent applications 2004-2018 for patentability, classification, and summarization tasks (NeurIPS 2023).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/Exploration-Lab/IL-TUR" target="_blank" rel="noopener"
&gt;IL-TUR&lt;/a&gt; - &lt;strong&gt;[🇮🇳 EN + 9 Indic]&lt;/strong&gt; - &lt;strong&gt;[~176K]&lt;/strong&gt; - Indian legal text understanding &amp;amp; reasoning benchmark across 8 tasks (NER, rhetorical roles, judgment prediction, bail, statute ID, retrieval, summarization, MT); ACL 2024.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/aluqas/gitlaw-jp" target="_blank" rel="noopener"
&gt;gitlaw-jp&lt;/a&gt; - &lt;strong&gt;[🇯🇵 JA]&lt;/strong&gt; - &lt;strong&gt;[Large]&lt;/strong&gt; - Complete Japanese legislation tracked as a Git repository, enabling diffs and historical analysis.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/spartypkp/open-source-legislation" target="_blank" rel="noopener"
&gt;open-source-legislation&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - SQL knowledge-graph format for global legislation with Python/TypeScript SDKs for LLM training and RAG.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="legal-judgment-prediction-ljp"&gt;Legal Judgment Prediction (LJP)
&lt;/h3&gt;&lt;p&gt;Datasets for predicting case outcomes, charges, or penalties from court documents.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/china-ai-law-challenge/CAIL2018" target="_blank" rel="noopener"
&gt;CAIL2018&lt;/a&gt; - &lt;strong&gt;[🇨🇳 China]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - &lt;strong&gt;[2.6M cases]&lt;/strong&gt; - Charge, penalty, article prediction&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/coastalcph/ecthr_cases" target="_blank" rel="noopener"
&gt;ECtHR Dataset&lt;/a&gt; - &lt;strong&gt;[🇪🇺 ECHR]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[11K cases]&lt;/strong&gt; - Article violation prediction&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Exploration-Lab/CJPE" target="_blank" rel="noopener"
&gt;ILDC (Indian Legal Documents Corpus)&lt;/a&gt; - &lt;strong&gt;[🇮🇳 India]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[34K cases]&lt;/strong&gt; - Court judgment prediction and explanation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/Dnyanesh1/NyayaAnumana" target="_blank" rel="noopener"
&gt;NyayaAnumana&lt;/a&gt; - &lt;strong&gt;[🇮🇳 India]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[700K+ cases]&lt;/strong&gt; - Largest corpus of Indian legal cases for LJP&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/ChicagoHAI/CaseSumm" target="_blank" rel="noopener"
&gt;CaseSumm&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US SCOTUS]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[25.6K opinions]&lt;/strong&gt; - Paired opinions + official syllabuses&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/SnehaDeshmukh/IndianBailJudgments-1200" target="_blank" rel="noopener"
&gt;IndianBailJudgments-1200&lt;/a&gt; - &lt;strong&gt;[🇮🇳 India]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[1.2K judgments]&lt;/strong&gt; - Bail decisions with 20+ structured attributes&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://scdb.wustl.edu" target="_blank" rel="noopener"
&gt;The Supreme Court Database&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[All SCOTUS cases since 1791]&lt;/strong&gt; - Votes, outcomes, justice ideology&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="legal-text-classification"&gt;Legal Text Classification
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/coastalcph/lex-glue" target="_blank" rel="noopener"
&gt;LexGLUE&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - 7-task benchmark: EURLEX, ECHR, LEDGAR, SCOTUS, ContractNLI, CaseHOLD, ECtHR&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/coastalcph/ledgar" target="_blank" rel="noopener"
&gt;LEDGAR&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - 60K+ contract provisions with 12.6K labels&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.atticusprojectai.org/cuad" target="_blank" rel="noopener"
&gt;CUAD&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - 510 annotated contracts, 41 clause types, 13K+ expert labels&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/joelito/AsyLex" target="_blank" rel="noopener"
&gt;AsyLex&lt;/a&gt; - &lt;strong&gt;[🇨🇭 Swiss]&lt;/strong&gt; - &lt;strong&gt;[FR/DE]&lt;/strong&gt; - 59K documents; 19K human-annotated entities for Refugee Law&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="legal-question-answering"&gt;Legal Question Answering
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/casehold/casehold" target="_blank" rel="noopener"
&gt;CaseHOLD&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - 53K multiple-choice QA from US case law (holding identification)&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://coliee.org" target="_blank" rel="noopener"
&gt;COLIEE&lt;/a&gt; - &lt;strong&gt;[🇨🇦 🇯🇵 EN/JA]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Annual competition: statute retrieval, entailment, QA (Canadian + Japanese law)&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://jecqa.thunlp.org" target="_blank" rel="noopener"
&gt;JEC-QA&lt;/a&gt; - &lt;strong&gt;[🇨🇳 China]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - 26K Chinese bar exam questions for legal reasoning&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="legal-summarization"&gt;Legal Summarization
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/FiscalNote/BillSum" target="_blank" rel="noopener"
&gt;BillSum&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - 22K US Congressional and California bill summaries&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/dennlinger/eur-lex-sum" target="_blank" rel="noopener"
&gt;EUR-Lex Sum&lt;/a&gt; - &lt;strong&gt;[🇪🇺 EU]&lt;/strong&gt; - &lt;strong&gt;[24 langs]&lt;/strong&gt; - Abstractive summarization of EU legislation; 1.5K+ docs&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/multilexsum/dataset" target="_blank" rel="noopener"
&gt;Multi-LexSum&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Multi-document summarization of US civil rights court cases&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/mteb/legal_summarization" target="_blank" rel="noopener"
&gt;mteb/legal_summarization&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - 439 pairs of legal contracts and plain-English summaries (from TOSDR)&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Law-AI/summarization" target="_blank" rel="noopener"
&gt;IN-Abs / UK-Abs&lt;/a&gt; - &lt;strong&gt;[🇮🇳 🇬🇧]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Abstractive and extractive summarization datasets for Indian and UK case judgments&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2410.13456" target="_blank" rel="noopener"
&gt;Swiss Judgment Summarization (SLDS)&lt;/a&gt; - &lt;strong&gt;[🇨🇭 DE/FR/IT]&lt;/strong&gt; - &lt;strong&gt;[~18K rulings]&lt;/strong&gt; - Multilingual Swiss court ruling-to-headnote summarization dataset (NLLP 2024)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="legal-semantic-search--information-retrieval"&gt;Legal Semantic Search &amp;amp; Information Retrieval
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/Free-Law-Project/opinions-synthetic-query-512" target="_blank" rel="noopener"
&gt;opinions-synthetic-query-512&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - High-quality Free Law Project synthetic queries for finetuning legal semantic search&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://trec.nist.gov/data/legal.html" target="_blank" rel="noopener"
&gt;LexTREC&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Foundational NIST benchmark dataset for legal e-discovery containing real corporate data with expert judgments&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/neelguha/legal-ml-datasets" target="_blank" rel="noopener"
&gt;CLERC&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Case Law Evaluation and Retrieval Corpus for dense retrieval&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://isaacus.com/mleb" target="_blank" rel="noopener"
&gt;Massive Legal Embedding Benchmark (MLEB)&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - &lt;strong&gt;[Open]&lt;/strong&gt; - A multidomain open-source benchmark for legal information retrieval.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/lavis-nlp/german_legal_sentences" target="_blank" rel="noopener"
&gt;german_legal_sentences&lt;/a&gt; - &lt;strong&gt;[🇩🇪 Germany]&lt;/strong&gt; - &lt;strong&gt;[DE]&lt;/strong&gt; - Semantic sentence matching and citation recommendation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2503.08379" target="_blank" rel="noopener"
&gt;JurisTCU&lt;/a&gt; - &lt;strong&gt;[🇧🇷 PT-BR]&lt;/strong&gt; - &lt;strong&gt;[16K docs / 150 queries]&lt;/strong&gt; - Brazilian Federal Court of Accounts jurisprudence IR dataset with graded relevance judgments (LREV 2025)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="contract-analysis"&gt;Contract Analysis
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.atticusprojectai.org/cuad" target="_blank" rel="noopener"
&gt;CUAD&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - See Classification section. Gold standard for contract clause extraction.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/TheAtticusProject/maud" target="_blank" rel="noopener"
&gt;MAUD&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - M&amp;amp;A contract understanding; 39K questions on merger agreements&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://tosdr.org/" target="_blank" rel="noopener"
&gt;ToS;DR&lt;/a&gt; - &lt;strong&gt;[🌍 Multi]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Phenomenal dataset mapping thousands of internet Terms of Service into machine-readable JSON grades and bullets&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://stanfordnlp.github.io/contract-nli/" target="_blank" rel="noopener"
&gt;ContractNLI&lt;/a&gt; - &lt;strong&gt;[🌍]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Natural language inference over non-disclosure agreements&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="legal-ai-models--embeddings"&gt;Legal AI Models &amp;amp; Embeddings
&lt;/h2&gt;&lt;h3 id="large-language-models-llms"&gt;Large Language Models (LLMs)
&lt;/h3&gt;&lt;p&gt;Fine-tuned or domain-pretrained LLMs specifically for legal tasks.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/Equall/Saul-7B-Instruct-v1" target="_blank" rel="noopener"
&gt;SaulLM-7B&lt;/a&gt; - &lt;strong&gt;[Mistral 7B]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[MIT]&lt;/strong&gt; - Pretrained on 30B+ English legal tokens&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/Equall" target="_blank" rel="noopener"
&gt;SaulLM-54B / 141B&lt;/a&gt; - &lt;strong&gt;[Mistral]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[MIT]&lt;/strong&gt; - Larger variants released Nov 2024&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/ricdomolm/lawma-8b" target="_blank" rel="noopener"
&gt;Lawma-8B&lt;/a&gt; - &lt;strong&gt;[Llama 3]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Fine-tuned for legal classification tasks&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/ricdomolm/lawma-70b" target="_blank" rel="noopener"
&gt;Lawma-70B&lt;/a&gt; - &lt;strong&gt;[Llama 3]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Larger legal classification model&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/law-ai/InLegalBERT" target="_blank" rel="noopener"
&gt;InLegalBERT&lt;/a&gt; - &lt;strong&gt;[BERT]&lt;/strong&gt; - &lt;strong&gt;[EN (Indian)]&lt;/strong&gt; - Trained on 5.4M Indian legal documents&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/ilhamfp/pasal" target="_blank" rel="noopener"
&gt;Pasal.id&lt;/a&gt; - &lt;strong&gt;[Claude + RAG]&lt;/strong&gt; - &lt;strong&gt;[ID]&lt;/strong&gt; - &lt;strong&gt;[Open]&lt;/strong&gt; - RAG-powered access to 40,000+ Indonesian regulations via Claude AI&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/SoulNoob/Nyaysahayak" target="_blank" rel="noopener"
&gt;NyayaSahayak&lt;/a&gt; - &lt;strong&gt;[EN/HI]&lt;/strong&gt; - &lt;strong&gt;[Open]&lt;/strong&gt; - AI legal assistant covering Indian Constitution, BNS 2023, IT Act&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/PKU-YuanGroup/ChatLaw" target="_blank" rel="noopener"
&gt;ChatLaw&lt;/a&gt; - &lt;strong&gt;[LLaMA/Ziya]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - &lt;strong&gt;[CC BY-NC]&lt;/strong&gt; - Chinese legal LLM from Peking University; trained on 30K+ Chinese legal datasets&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/FudanDISC/DISC-LawLLM" target="_blank" rel="noopener"
&gt;DISC-LawLLM&lt;/a&gt; - &lt;strong&gt;[Baichuan 13B]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - &lt;strong&gt;[Apache 2.0]&lt;/strong&gt; - Chinese legal assistant from Fudan; legal retrieval + reasoning&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/AdaptLLM/law-LLM" target="_blank" rel="noopener"
&gt;AdaptLLM/law-LLM&lt;/a&gt; - &lt;strong&gt;[LLaMA-1 7B]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - Domain-adapted LLM trained via reading-comprehension on a large English legal corpus.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/AdaptLLM/law-chat" target="_blank" rel="noopener"
&gt;AdaptLLM/law-chat&lt;/a&gt; - &lt;strong&gt;[LLaMA-2-Chat 7B]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[Llama2]&lt;/strong&gt; - Conversational legal Q&amp;amp;A model adapted with reading-comprehension pretraining.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/InternLM/InternLM-Law" target="_blank" rel="noopener"
&gt;InternLM-Law&lt;/a&gt; - &lt;strong&gt;[InternLM2-Chat 7B]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - &lt;strong&gt;[Apache 2.0]&lt;/strong&gt; - Shanghai AI Lab Chinese legal LLM SFT-tuned on ~1M legal examples; tops LawBench on 13/20 subtasks (COLING 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/AndrewZhe/lawyer-llama" target="_blank" rel="noopener"
&gt;Lawyer-LLaMA&lt;/a&gt; - &lt;strong&gt;[LLaMA-13B]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - PKU&amp;rsquo;s continually-pretrained Chinese legal model with judicial-exam and legal-consultation SFT data.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/irlab-sdu/fuzi.mingcha" target="_blank" rel="noopener"
&gt;Fuzi.Mingcha&lt;/a&gt; - &lt;strong&gt;[ChatGLM]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - Judicial LLM from Shandong U. + China U. of Political Science &amp;amp; Law; statute retrieval, syllogistic reasoning, judicial dialogue.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/opennyaiorg/Aalap-Mistral-7B-v0.1-bf16" target="_blank" rel="noopener"
&gt;Aalap-Mistral-7B&lt;/a&gt; - &lt;strong&gt;[Mistral 7B]&lt;/strong&gt; - &lt;strong&gt;[EN — 🇮🇳 focus]&lt;/strong&gt; - &lt;strong&gt;[Apache 2.0]&lt;/strong&gt; - OpenNyAI&amp;rsquo;s 32K-context instruction-tuned model for Indian paralegal tasks; matches/beats GPT-3.5-turbo on 65% of in-domain tests.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/StevenChen16/llama3-8b-Lawyer" target="_blank" rel="noopener"
&gt;llama3-8b-Lawyer&lt;/a&gt; - &lt;strong&gt;[Llama-3-ChatQA 8B]&lt;/strong&gt; - &lt;strong&gt;[EN/ZH]&lt;/strong&gt; - &lt;strong&gt;[MIT]&lt;/strong&gt; - LoRA-fine-tuned legal Q&amp;amp;A model trained on &lt;code&gt;dzunggg/legal-qa-v1&lt;/code&gt; for clarifying-question lawyer-style dialogue.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/speedlegal/SL-Llama-3.2-1b" target="_blank" rel="noopener"
&gt;SL-Llama-3.2-1b&lt;/a&gt; - &lt;strong&gt;[Llama-3.2 1B]&lt;/strong&gt; - &lt;strong&gt;[EN]&lt;/strong&gt; - &lt;strong&gt;[Llama 3.2]&lt;/strong&gt; - PEFT/LoRA model fine-tuned on CUAD for contract clause review and risk-flagging at edge-deployable size.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="embedding--bert-style-models"&gt;Embedding &amp;amp; BERT-style Models
&lt;/h3&gt;&lt;p&gt;Domain-specific encoder models for legal text similarity, classification, and retrieval.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://docs.voyageai.com/docs/embeddings" target="_blank" rel="noopener"
&gt;voyage-law-2&lt;/a&gt; - &lt;strong&gt;[Voyage AI (API)]&lt;/strong&gt; - State-of-the-art closed-source embedding model specifically trained for legal text retrieval&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://docs.voyageai.com/docs/embeddings" target="_blank" rel="noopener"
&gt;voyage-4&lt;/a&gt; - &lt;strong&gt;[Voyage AI (API)]&lt;/strong&gt; - Highly optimized general embedding model with excellent performance across professional domains including law&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/nlpaueb/legal-bert-base-uncased" target="_blank" rel="noopener"
&gt;Legal-BERT&lt;/a&gt; - &lt;strong&gt;[&lt;code&gt;nlpaueb/legal-bert-base-uncased&lt;/code&gt;]&lt;/strong&gt; - Pretrained on EU/US legislation + court cases&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/pile-of-law/legalbert-large-1.7M-2" target="_blank" rel="noopener"
&gt;CaseLawBERT&lt;/a&gt; - &lt;strong&gt;[&lt;code&gt;pile-of-law/legalbert-large-1.7M-2&lt;/code&gt;]&lt;/strong&gt; - Trained on Pile of Law corpus&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/jhu-clsp/LegalBert" target="_blank" rel="noopener"
&gt;LegalBert (JHU)&lt;/a&gt; - &lt;strong&gt;[&lt;code&gt;jhu-clsp/LegalBert&lt;/code&gt;]&lt;/strong&gt; - JHU CLSP legal domain adaptation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/isaacus/EmuBERT" target="_blank" rel="noopener"
&gt;EmuBERT&lt;/a&gt; - &lt;strong&gt;[&lt;code&gt;isaacus/EmuBERT&lt;/code&gt;]&lt;/strong&gt; - RoBERTa-based model for Australian law; 1.4B tokens across 6 jurisdictions&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/joelito/longformer-base-4096-legal" target="_blank" rel="noopener"
&gt;Lawformer&lt;/a&gt; - Long-context legal document model&lt;/li&gt;
&lt;li&gt;Kanon 2 Embedder - &lt;strong&gt;[&lt;code&gt;isaacus/kanon-2&lt;/code&gt;]&lt;/strong&gt; - #1 on MLEB benchmark; legal semantic search + RAG; 16K token context
&lt;strong&gt;Benchmark:&lt;/strong&gt; &lt;a class="link" href="https://huggingface.co/datasets/Kanon/MLEB" target="_blank" rel="noopener"
&gt;MLEB (Massive Legal Embedding Benchmark)&lt;/a&gt; - Comprehensive evaluation for legal text embedding models (Oct 2025).&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="multilingual--regional-legal-models"&gt;Multilingual &amp;amp; Regional Legal Models
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://opengpt-x.de" target="_blank" rel="noopener"
&gt;OpenGPT-X / Teuken-7B&lt;/a&gt; - &lt;strong&gt;[Europe]&lt;/strong&gt; - &lt;strong&gt;[All 24 EU langs]&lt;/strong&gt; - German-funded initiative; produced Teuken-7B LLM covering all official EU languages&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/open-compass/LawBench" target="_blank" rel="noopener"
&gt;LawBench Models&lt;/a&gt; - &lt;strong&gt;[China]&lt;/strong&gt; - &lt;strong&gt;[ZH]&lt;/strong&gt; - Models evaluated on 20 Chinese legal tasks&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="mcp-servers-for-legal"&gt;MCP Servers for Legal
&lt;/h2&gt;&lt;p&gt;&lt;a class="link" href="https://modelcontextprotocol.io" target="_blank" rel="noopener"
&gt;Model Context Protocol (MCP)&lt;/a&gt; servers that connect AI assistants to legal data sources and workflows.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/vaquill-AI/vaquill-mcp" target="_blank" rel="noopener"
&gt;Vaquill AI MCP&lt;/a&gt; - MCP server that connects Claude / Cursor / Windsurf / VS Code to 8M+ US federal and state court opinions plus the US Code and CFR. &lt;em&gt;(Sponsor)&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/DefendTheDisabled/courtlistener-mcp" target="_blank" rel="noopener"
&gt;CourtListener MCP (DefendTheDisabled)&lt;/a&gt; - Connects AI agents to CourtListener with semantic search, hybrid search, and citation verification to mitigate hallucination.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Travis-Prall/court-listener-mcp" target="_blank" rel="noopener"
&gt;CourtListener MCP (Travis-Prall)&lt;/a&gt; - MCP Server for accessing CourtListener case data, court opinions, and eCFR federal regulations.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/khizar-anjum/courtlistener-mcp" target="_blank" rel="noopener"
&gt;CourtListener MCP (khizar-anjum)&lt;/a&gt; - MCP server built for searching cases by natural language legal problems across 3,352 U.S. courts.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/agentic-ops/legal-mcp" target="_blank" rel="noopener"
&gt;agentic-ops/legal-mcp&lt;/a&gt; - Comprehensive MCP server for legal workflows. Integrates AI assistants with legal databases and case management systems (Clio, etc.).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://mcp.so/server/legalcontext" target="_blank" rel="noopener"
&gt;LegalContext MCP&lt;/a&gt; - Open-source MCP server bridging law firm document management systems with AI assistants.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/dealfluence/adeu" target="_blank" rel="noopener"
&gt;adeu (Agentic DOCX Redlining Engine)&lt;/a&gt; - MCP Server enabling LLMs to inject native Track Changes and Comments into Word documents.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/sboghossian/master-claude-for-legal" target="_blank" rel="noopener"
&gt;Master Claude for Legal&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; - &lt;strong&gt;[MIT]&lt;/strong&gt; - Skill pack for legal teams using Claude with MCP connectors. 10 reference docs (privilege, verification, long documents, practice areas), 5 starter skills (NDA triage, version diff, meeting brief, citation verifier, status synthesis), 3 firm templates. Includes the source Anthropic legal-webinar transcript and 51-question dataset.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/chrisryugj/korean-law-mcp" target="_blank" rel="noopener"
&gt;Korean Law MCP&lt;/a&gt; - &lt;strong&gt;[🇰🇷 Korea]&lt;/strong&gt; 17 MCP tools wrapping 41 Korean government legal APIs; includes citation verification, impact graph, and time-travel diff.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/saidsurucu/yargi-mcp" target="_blank" rel="noopener"
&gt;Yargı MCP&lt;/a&gt; - &lt;strong&gt;[🇹🇷 Turkey]&lt;/strong&gt; MCP server for Turkish legal databases (Yargıtay, Danıştay, Anayasa Mahkemesi).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/lawchat-oss/mcp-taiwan-legal-db" target="_blank" rel="noopener"
&gt;MCP Taiwan Legal DB&lt;/a&gt; - &lt;strong&gt;[🇹🇼 Taiwan]&lt;/strong&gt; Taiwan Judicial Yuan judgments + national statute database via MCP.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/ayunis-core/ayunis-legal-mcp" target="_blank" rel="noopener"
&gt;ayunis-legal-mcp&lt;/a&gt; - &lt;strong&gt;[🇩🇪 Germany]&lt;/strong&gt; MCP server exposing German legal codes (Gesetze-im-Internet).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/ilhamfp/pasal" target="_blank" rel="noopener"
&gt;Pasal MCP&lt;/a&gt; - &lt;strong&gt;[🇮🇩 Indonesia]&lt;/strong&gt; MCP + REST + web app giving AI grounded access to 40k+ Indonesian regulations.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/russellbrenner/auslaw-mcp" target="_blank" rel="noopener"
&gt;auslaw-mcp&lt;/a&gt; - &lt;strong&gt;[🇦🇺 🇳🇿 AU/NZ]&lt;/strong&gt; MCP server searching AustLII case law and legislation with OCR for scanned PDFs.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/numikel/law-scrapper-mcp" target="_blank" rel="noopener"
&gt;law-scrapper-mcp&lt;/a&gt; - &lt;strong&gt;[🇵🇱 Poland]&lt;/strong&gt; MCP server for Polish legal acts via the Sejm API.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/veronica-builds/emilie" target="_blank" rel="noopener"
&gt;Emilie&lt;/a&gt; - &lt;strong&gt;[🇨🇭 Switzerland]&lt;/strong&gt; Swiss sovereign legal AI; Mike fork extended with MCP client and local Apertus model support.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Mahender22/legal-mcp" target="_blank" rel="noopener"
&gt;Mahender22/legal-mcp&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; 18 MCP tools across CourtListener case law (4M+ opinions, 400+ US courts), PACER federal filings, and Clio practice-management.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Ansvar-Systems/EU_compliance_MCP" target="_blank" rel="noopener"
&gt;EU Compliance MCP&lt;/a&gt; - &lt;strong&gt;[🇪🇺 EU]&lt;/strong&gt; MCP exposing 61 EU regulations (GDPR, AI Act, DORA, NIS2, MiFID II, eIDAS 2.0, CRA) with 4,095 articles and cross-regulation comparison.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/pylegifrance/mcp-server-legifrance" target="_blank" rel="noopener"
&gt;mcp-server-legifrance&lt;/a&gt; - &lt;strong&gt;[🇫🇷 France]&lt;/strong&gt; MCP that wraps the official Légifrance/PISTE API for searching French statutes, codes, and judicial jurisprudence.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/jmtanguy/droit-francais-mcp" target="_blank" rel="noopener"
&gt;droit-francais-mcp&lt;/a&gt; - &lt;strong&gt;[🇫🇷 France]&lt;/strong&gt; Unified MCP over Légifrance (legislation/codes/decrees) plus JudiLibre (case law) with PISTE-auth.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Ansvar-Systems/French-law-mcp" target="_blank" rel="noopener"
&gt;French Law MCP&lt;/a&gt; - &lt;strong&gt;[🇫🇷 France]&lt;/strong&gt; MCP exposing 3,958 French statutes (Code civil, Code pénal, Code du travail, Code de commerce, Loi I&amp;amp;L) verified against official sources.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/stefanoamorelli/sec-edgar-mcp" target="_blank" rel="noopener"
&gt;SEC EDGAR MCP&lt;/a&gt; - &lt;strong&gt;[🇺🇸 US]&lt;/strong&gt; MCP for SEC EDGAR filings, financial statements, and insider-trading data — useful for securities and corporate-disclosure workflows.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/yoda-digital/mcp-cerebra-legal-server" target="_blank" rel="noopener"
&gt;mcp-cerebra-legal-server&lt;/a&gt; - MCP providing structured legal-reasoning tools (&lt;code&gt;legal_think&lt;/code&gt;, follow-up, completion) with domain templates for contract, consumer-protection, and French procurement analysis.&lt;/li&gt;
&lt;/ul&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Note:&lt;/strong&gt; MCP for legal is an emerging ecosystem. Many servers are early-stage community projects. Always verify data accuracy and jurisdiction coverage before use in legal practice.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;hr&gt;
&lt;h2 id="full-stack-legal-platforms--suites"&gt;Full-Stack Legal Platforms &amp;amp; Suites
&lt;/h2&gt;&lt;p&gt;Comprehensive platforms that handle multiple functions across the legal workflow (research, drafting, review, and matter management).&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://harvey.ai" target="_blank" rel="noopener"
&gt;Harvey AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Full-stack legal AI with 30+ autonomous agentic workflows ($8B valuation).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://thomsonreuters.com" target="_blank" rel="noopener"
&gt;Thomson Reuters&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Owner of CoCounsel, Westlaw, Practical Law, and HighQ.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lexisnexis.com" target="_blank" rel="noopener"
&gt;LexisNexis&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Owner of Lexis+ AI, Protégé, and Shepard&amp;rsquo;s citations.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://legora.com" target="_blank" rel="noopener"
&gt;Legora&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; YC-backed collaborative AI workspace spanning research, drafting, and review.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://eudia.com" target="_blank" rel="noopener"
&gt;Eudia&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI agents specifically designed for Fortune 500 in-house corporate legal teams.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://deepjudge.ai" target="_blank" rel="noopener"
&gt;DeepJudge&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Custom AI workflows applied directly to internal law firm knowledge bases.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://prest0.ai" target="_blank" rel="noopener"
&gt;Prest0&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Enterprise bilingual (English/Spanish) legal AI platform that deploys a dedicated AI agent per law firm on an isolated VM with persistent memory, Twilio voice + SMS intake, deep research, and legal-grade document drafting — purpose-built for immigration, workers&amp;rsquo; compensation, and employment law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://hodos-caseflow.vercel.app" target="_blank" rel="noopener"
&gt;HODOS + CASEFLOW&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Bilingual (EN/ES) legal AI platform with per-firm multi-tenant isolation enforced by RLS-in-CI. Practice areas: immigration, PI, workers&amp;rsquo; comp, family. North Carolina jurisdictional depth (NC scaffolds across 4 verticals with county variance). 14 AI agents with layered prompt-injection defense, LEDES bill drafting, 101 USCIS/court form scaffolds with daily edition-change watcher, Retell + LiveKit voice intake. Production scale: 27,513-matter Clio mirror in ~21 hours. Anchor: Vasquez Law Firm (NC, 30+ years).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/firelex/suzielaw" target="_blank" rel="noopener"
&gt;Suzie Law&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Self-hostable Harvey alternative built on Team Suzie: chat assistant (&amp;ldquo;Counsel&amp;rdquo;), 12 practice-area personas, 160+ agentic workflows, document Q&amp;amp;A with citations, tracked-change redlines, DOCX drafting, and unified legal research across 19 jurisdictions (US, UK, EU, FR, DE, IN, AU, etc.).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/willchen96/mike" target="_blank" rel="noopener"
&gt;Mike&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Legal document assistant (Next.js + Express + Supabase + S3/R2) that lets users chat with uploaded documents using Anthropic, Gemini, or OpenAI models; BYOK per user. Hosted at &lt;a class="link" href="https://mikeoss.com" target="_blank" rel="noopener"
&gt;mikeoss.com&lt;/a&gt;.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://crosby.ai/" target="_blank" rel="noopener"
&gt;Crosby&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Sequoia/Index/Bain-backed &amp;ldquo;AI law firm&amp;rdquo; that reviews NDAs, MSAs, and DPAs in under an hour for startups like Cursor and Stripe; raised $60M Series B at $400M valuation in 2026.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://manifestos.com/" target="_blank" rel="noopener"
&gt;Manifest OS&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-native law firm operating system (immigration first, tax next); $60M Series A at $750M valuation led by Menlo Ventures (April 2026) — largest Series A in legaltech history.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.getenter.ai/en" target="_blank" rel="noopener"
&gt;Enter&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Brazilian AI agents for mass consumer and labor litigation serving Nubank, iFood, and LATAM; LatAm&amp;rsquo;s first legal-AI unicorn after a $100M round led by Founders Fund and Sequoia (May 2026).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lexroom.ai/" target="_blank" rel="noopener"
&gt;Lexroom.ai&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Italian vertical GenAI platform for legal research, drafting, and document analysis across EU jurisdictions; €16.2M Series A led by Base10 (Sept 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.vesence.com/" target="_blank" rel="noopener"
&gt;Vesence&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Agentic AI for law firms embedded in Word, Outlook, Excel, and PowerPoint for drafting, formatting, and quality checks; $9M seed (Oct 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.eve.legal/" target="_blank" rel="noopener"
&gt;Eve Legal&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; End-to-end AI for plaintiff law firms (intake, medical chronologies, demand letters, discovery); $103M Series B at $1B+ valuation (Sept 2025) — plaintiff-AI unicorn alongside EvenUp.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.supio.com/" target="_blank" rel="noopener"
&gt;Supio&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Agentic AI for personal injury and mass tort firms covering intake, medical chronologies, and demand drafting; $60M Series B led by Sapphire Ventures (April 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://gc.ai/" target="_blank" rel="noopener"
&gt;GC AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI platform purpose-built for in-house legal teams (contracts, policies, compliance, employment) serving News Corp, Skims, Vercel, and Zscaler; $60M Series B at $555M valuation (Nov 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.orbital.tech/" target="_blank" rel="noopener"
&gt;Orbital&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; UK-origin AI for real estate due diligence and conveyancing used by Clifford Chance and Macfarlanes; powers 200,000+ transactions annually. $60M Series B led by Brighton Park Capital (Jan 2026).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/stella/stella" target="_blank" rel="noopener"
&gt;Stella&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Open-source legal workspace built in TypeScript.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/freelawproject/courtlistener" target="_blank" rel="noopener"
&gt;CourtListener (source)&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Django source for the largest open US court-data archive (RECAP, opinions, oral arguments, judges) maintained by Free Law Project.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/zoharbabin/due-diligence-agents" target="_blank" rel="noopener"
&gt;dd-agents&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; M&amp;amp;A due diligence platform orchestrating 13 AI agents (Legal, Finance, Commercial, ProductTech, Cybersecurity, HR, Tax, Regulatory, ESG + Judge, Red Flag Scanner, Executive Synthesis, Acquirer Intelligence) across a 38-step pipeline. Interactive chat mode with 14 MCP tools for citation verification, cross-contract search, and document generation. Neurosymbolic cross-domain analysis routes findings between domains via deterministic rules. Apache 2.0, &lt;code&gt;pip install dd-agents&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="legal-research-platforms"&gt;Legal Research Platforms
&lt;/h2&gt;&lt;p&gt;Browser-based platforms and search engines for case law, statutes, and dockets.&lt;/p&gt;
&lt;h3 id="open--free-access-by-jurisdiction"&gt;Open / Free Access (By Jurisdiction)
&lt;/h3&gt;&lt;h3 id="national--regional-portals-global"&gt;National &amp;amp; Regional Portals (Global)
&lt;/h3&gt;&lt;details&gt;
&lt;summary&gt;🌍 Africa&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;Angola&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/ao/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Angola)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Botswana&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/bw/cases/BWHC/" target="_blank" rel="noopener"
&gt;High Court of Botswana&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Burkina Faso&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.juriburkina.org/doc/html/bf/jug/cc/fr/" target="_blank" rel="noopener"
&gt;Conseil Constitutionnel&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Cape Verde&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/cv/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Cape Verde)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Ghana&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/gh/cases/GHLL/" target="_blank" rel="noopener"
&gt;Ghana Land Law Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Kenya&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/ke/other/KECKRC/" target="_blank" rel="noopener"
&gt;Constitution of Kenya Review Commission&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Lesotho&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/ls/legis/num_act/" target="_blank" rel="noopener"
&gt;Lesotho Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Malawi&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/mw/cases/MWHC/" target="_blank" rel="noopener"
&gt;High Court of Malawi&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Mauritania&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/mr/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Mauritania)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Mauritius&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/mu/legis/num_act/" target="_blank" rel="noopener"
&gt;Mauritius Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Mozambique&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/mz/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Mozambique)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Namibia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/na/cases/NAHC/" target="_blank" rel="noopener"
&gt;High Court of Namibia&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/na/legis/num_act/" target="_blank" rel="noopener"
&gt;Namibia Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/na/cases/NASC/" target="_blank" rel="noopener"
&gt;Supreme Court of Namibia&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Nigeria&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/ng/legis/num_act/" target="_blank" rel="noopener"
&gt;Nigerian Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/ng/cases/NGSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Nigeria&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Seychelles&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/sc/legis/consol_act/" target="_blank" rel="noopener"
&gt;Seychelles Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;South Africa&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZACC" target="_blank" rel="noopener"
&gt;Constitutional Court of South Africa&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZAECHC" target="_blank" rel="noopener"
&gt;Eastern Cape Division of the High Court of South Africa&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZAFSHC/" target="_blank" rel="noopener"
&gt;High Court of South Africa - Free State Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZAGPHC/" target="_blank" rel="noopener"
&gt;High Court of South Africa - Gauteng Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZAKZHC/" target="_blank" rel="noopener"
&gt;High Court of South Africa - Kwazulu Natal Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZANWHC/" target="_blank" rel="noopener"
&gt;High Court of South Africa - North-West Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZANCHC/" target="_blank" rel="noopener"
&gt;High Court of South Africa - Northern Cape Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZAWCHC/" target="_blank" rel="noopener"
&gt;High Court of South Africa - Western Cape Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/legis/num_act/" target="_blank" rel="noopener"
&gt;South African Numbered Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/za/cases/ZASCA" target="_blank" rel="noopener"
&gt;Supreme Court of Appeal of South Africa&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Swaziland&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/sz/cases/SZHC/" target="_blank" rel="noopener"
&gt;High Court of Swaziland&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tanzania&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/tz/other/TZLRC/" target="_blank" rel="noopener"
&gt;Law Reform Commission of Tanzania&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tunisia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/tn/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Tunisia)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Uganda&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/ug/cases/UGCC/" target="_blank" rel="noopener"
&gt;Constitutional Court of Uganda&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/ug/cases/UGHC/" target="_blank" rel="noopener"
&gt;High Court of Uganda&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.saflii.org/ug/cases/UGSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Uganda&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 Asia&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;&lt;a class="link" href="http://www.asianlii.org/asia/other/ADBLPRes/" target="_blank" rel="noopener"
&gt;Asian Development Bank Law and Policy Resources 1999-&lt;/a&gt; (AsianLII)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/asia/other/ADBLPRes/" target="_blank" rel="noopener"
&gt;Asian Development Bank Law and Policy Resources&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Afghanistan&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/af/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of Afghanistan 2004&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Asia-Pacific Economic Cooperation (APEC)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/apec/other/agrmt/" target="_blank" rel="noopener"
&gt;APEC Agreements and Declarations&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Association of Southeast Asian Nations (ASEAN)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/asean/other/agrmt/" target="_blank" rel="noopener"
&gt;ASEAN Agreements and Declarations&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bangladesh&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/bd/other/BDLC/" target="_blank" rel="noopener"
&gt;Bangladesh Law Commission Publications&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bhutan&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/bt/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the Kingdom of Bhutan 2005&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Brunei&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/bn/legis/" target="_blank" rel="noopener"
&gt;Brunei Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/bn/cases/BNHC/" target="_blank" rel="noopener"
&gt;High Court of Brunei Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;China&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/cn/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the People&amp;rsquo;s Republic of China 2004&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Cocos (Keeling) Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/cc/cases/CCDND/" target="_blank" rel="noopener"
&gt;Cocos (Keeling) Islands Domain Name Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Hong Kong&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.hklii.org/hk/jud/en/hkca/" target="_blank" rel="noopener"
&gt;Court of Appeal of Hong Kong Judgments&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;India&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/legis/num_act/" target="_blank" rel="noopener"
&gt;Indian Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INSC/" target="_blank" rel="noopener"
&gt;Supreme Court of India&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCAP/" target="_blank" rel="noopener"
&gt;Andhra Pradesh High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCG/" target="_blank" rel="noopener"
&gt;Gauhati High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INPHHC/" target="_blank" rel="noopener"
&gt;High Court of Punjab and Haryana, Chandigarh&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCC/" target="_blank" rel="noopener"
&gt;Chattisgarh High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCD/" target="_blank" rel="noopener"
&gt;Delhi High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INGAHC/" target="_blank" rel="noopener"
&gt;High Court of Bombay at Goa&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INJKHC/" target="_blank" rel="noopener"
&gt;High Court of Jammu and Kashmir&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INKLHC/" target="_blank" rel="noopener"
&gt;High Court of Kerala&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCB/" target="_blank" rel="noopener"
&gt;Bombay High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCO/" target="_blank" rel="noopener"
&gt;Orissa High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCM/" target="_blank" rel="noopener"
&gt;Madras High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCA/" target="_blank" rel="noopener"
&gt;Allahabad High Court&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/in/cases/INHCAL/" target="_blank" rel="noopener"
&gt;Allahabad High Court - Lucknow Bench&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Indonesia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/id/cases/IDCC/" target="_blank" rel="noopener"
&gt;Constitutional Court of Indonesia&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/id/legis/uu/" target="_blank" rel="noopener"
&gt;Indonesian Legislation (Undang-Undang Republik Indonesia)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/id/cases/IDSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Indonesia (Mahkamah Agung)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Japan&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/jp/cases/JPSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Japan&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Korea (North)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/kp/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the Democratic People&amp;rsquo;s Republic of Korea 1998&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Korea (South)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/kr/cases/KRCC/" target="_blank" rel="noopener"
&gt;Constitutional Court of Korea&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/kr/cases/KRSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Korea&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Lao PDR&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/la/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the Lao People&amp;rsquo;s Democratic Republic 1991&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Macau, China&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/mo/legis/laws/" target="_blank" rel="noopener"
&gt;Laws of Macau&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Malaysia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/my/cases/MYMHC/" target="_blank" rel="noopener"
&gt;High Court of Malaya&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/my/cases/MYSSHC/" target="_blank" rel="noopener"
&gt;High Court of Sabah and Sarawak&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Maldives&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/mv/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the Republic of Maldives 1998&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Mongolia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/mn/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the People&amp;rsquo;s Republic of Mongolia 1992&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Nepal&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/np/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the Kingdom of Nepal 1990&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Pakistan&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/pk/legis/pj/consol_act/" target="_blank" rel="noopener"
&gt;Pakistan (Punjab) Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Papua New Guinea&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/pg/legis/consol_act/" target="_blank" rel="noopener"
&gt;Papua New Guinea Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/pg/cases/PGSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Papua New Guinea&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Philippines&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/ph/legis/num_act/" target="_blank" rel="noopener"
&gt;Acts of the Philippines&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/ph/legis/cth_act/" target="_blank" rel="noopener"
&gt;Commonwealth Acts of the Philippines&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/ph/legis/republic_act/" target="_blank" rel="noopener"
&gt;Republic Acts of the Philippines&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/ph/cases/PHSC/" target="_blank" rel="noopener"
&gt;Supreme Court of the Philippines&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/ph/cases/PHSCR/" target="_blank" rel="noopener"
&gt;Supreme Court of the Philippines Resolutions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Singapore&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/sg/legis/num_reg/" target="_blank" rel="noopener"
&gt;Singapore Subordinate Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/sg/legis/consol_act/" target="_blank" rel="noopener"
&gt;Singaporean Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/sg/cases/SGCA/" target="_blank" rel="noopener"
&gt;Supreme Court of Singapore - Court of Appeal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/sg/cases/SGHC/" target="_blank" rel="noopener"
&gt;Supreme Court of Singapore - High Court&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;South Korea&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/kr/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (South Korea)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Sri Lanka&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/lk/legis/consol_act/" target="_blank" rel="noopener"
&gt;Sri Lanka Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/lk/cases/LKSC/" target="_blank" rel="noopener"
&gt;Sri Lankan Supreme Court&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Taiwan&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/tw/cases/TWCC/" target="_blank" rel="noopener"
&gt;Constitutional Court of the Republic of China&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Thailand&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/th/cases/THCC/" target="_blank" rel="noopener"
&gt;Constitutional Court of the Kingdom of Thailand&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/th/cases/THSC/" target="_blank" rel="noopener"
&gt;Supreme Court of the Kingdom of Thailand&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/th/legis/consol_act/" target="_blank" rel="noopener"
&gt;Thai Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Timor-Leste&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/tp/legis/decree_law/" target="_blank" rel="noopener"
&gt;Decree-Laws of the Democratic Republic of Timor-Leste&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Viet Nam&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.asianlii.org/vn/legis/const/" target="_blank" rel="noopener"
&gt;Constitution of the Socialist Republic of Vietnam 1992&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 Australasia&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;Australia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/journals/HCRev/" target="_blank" rel="noopener"
&gt;High Court Review&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/act/ACTCA/" target="_blank" rel="noopener"
&gt;Supreme Court of the Australian Capital Territory - Court of Appeal Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/act/ACTSC/" target="_blank" rel="noopener"
&gt;Supreme Court of the Australian Capital Territory Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/other/hca/bulletin/" target="_blank" rel="noopener"
&gt;High Court of Australia Bulletins&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/cth/HCA/" target="_blank" rel="noopener"
&gt;High Court of Australia Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/other/hca/transcripts/" target="_blank" rel="noopener"
&gt;High Court of Australia Transcripts&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nsw/NSWCA/" target="_blank" rel="noopener"
&gt;Supreme Court of New South Wales - Court of Appeal Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nsw/NSWCCA/" target="_blank" rel="noopener"
&gt;Supreme Court of New South Wales - Court of Criminal Appeal Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nsw/supreme_ct/" target="_blank" rel="noopener"
&gt;Supreme Court of New South Wales Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nf/NFSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Norfolk Island Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nt/NTCA/" target="_blank" rel="noopener"
&gt;Supreme Court of the Northern Territory - Court of Appeal Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nt/NTCCA/" target="_blank" rel="noopener"
&gt;Supreme Court of the Northern Territory - Court of Criminal Appeal Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/nt/NTSC/" target="_blank" rel="noopener"
&gt;Supreme Court of the Northern Territory Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/qld/QSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Queensland&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/qld/QCA/" target="_blank" rel="noopener"
&gt;Supreme Court of Queensland - Court of Appeal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/sa/SASC/" target="_blank" rel="noopener"
&gt;Supreme Court of South Australia&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/tas/supreme_ct/" target="_blank" rel="noopener"
&gt;Supreme Court of Tasmania Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/vic/VSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Victoria&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/vic/VSCA/" target="_blank" rel="noopener"
&gt;Supreme Court of Victoria - Court of Appeal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/vic/VICSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Victoria - Court of Appeal Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/wa/WASC/" target="_blank" rel="noopener"
&gt;Supreme Court of Western Australia&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.austlii.edu.au/au/cases/wa/WASCA/" target="_blank" rel="noopener"
&gt;Supreme Court of Western Australia - Court of Appeal&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;New Zealand&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.nzlii.org/nz/cases/NZHC/" target="_blank" rel="noopener"
&gt;High Court of New Zealand Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.nzlii.org/nz/cases/NZSC/" target="_blank" rel="noopener"
&gt;Supreme Court of New Zealand Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/int/cases/ECarSC/" target="_blank" rel="noopener"
&gt;Eastern Caribbean Supreme Court&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Barbados&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/bb/cases/BBSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Barbados Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bermuda&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/bm/legis/consol_act/" target="_blank" rel="noopener"
&gt;Bermuda Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/int/cases/ECarSC/" target="_blank" rel="noopener"
&gt;Eastern Caribbean Supreme Court&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Cuba&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/cu/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Cuba)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Dominican Republic&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/do/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Dominican Republic)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Haiti&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/ht/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Haiti)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Jamaica&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/jm/cases/JMSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Jamaica&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Trinidad and Tobago&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/tt/cases/TTHC/" target="_blank" rel="noopener"
&gt;High Court of Trinidad and Tobago&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/tt/legis/num_act/" target="_blank" rel="noopener"
&gt;Trinidad and Tobago Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 Central America&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;&lt;a class="link" href="http://www.worldlii.org/int/cases/CACJ/" target="_blank" rel="noopener"
&gt;Central American Court of Justice 2003-&lt;/a&gt; (WorldLII)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/cases/CACJ/" target="_blank" rel="noopener"
&gt;Central American Court of Justice&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Belize&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/bz/legis/consol_act/" target="_blank" rel="noopener"
&gt;Belize Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Costa Rica&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/cr/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Costa Rica)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;El Salvador&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/sv/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (El Salvador)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Guatemala&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/gt/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Guatemala)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Honduras&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/hn/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Honduras)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Nicaragua&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/ni/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Nicaragua)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Panama&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/pa/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Panama)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 Europe&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;&lt;a class="link" href="http://www.worldlii.org/eu/cases/ECComm/" target="_blank" rel="noopener"
&gt;Commission of the European Communities 1985-&lt;/a&gt; (WorldLII)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/eu/cases/ECComm/" target="_blank" rel="noopener"
&gt;Commission of the European Communities&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;England and Wales&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Admin/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Administrative Court) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Admlty/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Admiralty Division) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Ch/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Chancery Division) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Comm/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Commercial Court) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Exch/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Exchequer Court) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Fam/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Family Division) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/KB/" target="_blank" rel="noopener"
&gt;England and Wales High Court (King&amp;rsquo;s Bench Division) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Patents" target="_blank" rel="noopener"
&gt;England and Wales High Court (Patents Court) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/QB/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Queen&amp;rsquo;s Bench Division) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/Costs/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Supreme Court Cost Office) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ew/cases/EWHC/TCC/" target="_blank" rel="noopener"
&gt;England and Wales High Court (Technology and Construction Court) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Ireland&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ie/cases/IEHC/" target="_blank" rel="noopener"
&gt;High Court of Ireland Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ie/legis/num_act/" target="_blank" rel="noopener"
&gt;Irish Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/ie/cases/IESC/" target="_blank" rel="noopener"
&gt;Supreme Court of Ireland Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Malta&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/mt/legis/consol_act/" target="_blank" rel="noopener"
&gt;Malta Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Northern Ireland&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/nie/cases/NIHC/Ch/" target="_blank" rel="noopener"
&gt;High Court of Justice in Northern Ireland Chancery Division Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/nie/cases/NIHC/Fam/" target="_blank" rel="noopener"
&gt;High Court of Justice in Northern Ireland Family Division Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/nie/cases/NIHC/QB/" target="_blank" rel="noopener"
&gt;High Court of Justice in Northern Ireland Queen&amp;rsquo;s Bench Division Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Portugal&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/pt/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Portugal)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Romania&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/ro/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Romania)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Russian Federation&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/ru/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Russia)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Scotland&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/scot/legis/num_act/" target="_blank" rel="noopener"
&gt;Acts of the Scottish Parliament&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/scot/cases/ScotHC/" target="_blank" rel="noopener"
&gt;Scottish High Court of Justiciary Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Spain&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/es/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Spain)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;United Kingdom&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bailii.org/uk/legis/num_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 International&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;&lt;a class="link" href="http://www.worldlii.org/int/journals/EPICAlert/" target="_blank" rel="noopener"
&gt;EPIC Alert 1994-&lt;/a&gt; (WorldLII)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/journals/EPICAlert/" target="_blank" rel="noopener"
&gt;EPIC Alert&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Commonwealth&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org/int/other/ComSecDecl/" target="_blank" rel="noopener"
&gt;Commonwealth Declarations and Agreements&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Kuwait&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/kw/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Kuwait)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Saudi Arabia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/sa/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Saudi Arabia)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 North America&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;&lt;a class="link" href="http://www.worldlii.org/int/cases/NAFTA/" target="_blank" rel="noopener"
&gt;North American Free Trade Agreement (NAFTA) Decisions 1990-&lt;/a&gt; (WorldLII)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/cases/NAFTA/" target="_blank" rel="noopener"
&gt;North American Free Trade Agreement (NAFTA) Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Canada&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/ca/scc/" target="_blank" rel="noopener"
&gt;Supreme Court of Canada&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/ca/scc-l/" target="_blank" rel="noopener"
&gt;Supreme Court of Canada - Applications for Leave&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/bc/bcsc/" target="_blank" rel="noopener"
&gt;Supreme Court of British Columbia&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/nl/nlca/" target="_blank" rel="noopener"
&gt;Supreme Court of Newfoundland and Labrador, Court of Appeal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/nl/nlsctd/" target="_blank" rel="noopener"
&gt;Supreme Court of Newfoundland and Labrador, Trial Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/nt/ntsc/" target="_blank" rel="noopener"
&gt;Supreme Court of the Northwest Territories&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/ns/nssc/" target="_blank" rel="noopener"
&gt;Supreme Court of Nova Scotia&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/ns/nssf/" target="_blank" rel="noopener"
&gt;Supreme Court of Nova Scotia (Family Division)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/pe/pescad/" target="_blank" rel="noopener"
&gt;Supreme Court of Prince Edward Island - Appeal Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/pe/pesctd/" target="_blank" rel="noopener"
&gt;Supreme Court of Prince Edward Island - Trial Division&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.canlii.org/en/yk/yksc/" target="_blank" rel="noopener"
&gt;Supreme Court of the Yukon Territory&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Mexico&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.worldlii.org/int/other/GLIN/mx/" target="_blank" rel="noopener"
&gt;Global Legal Information Network (Mexico)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;United States of America&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://supct.law.cornell.edu/supct/" target="_blank" rel="noopener"
&gt;United States Supreme Court Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 Pacific Islands&lt;/summary&gt;
&lt;p&gt;&lt;strong&gt;&lt;a class="link" href="http://www.paclii.org/vu/journals/JSPL/" target="_blank" rel="noopener"
&gt;Journal of South Pacific Law 1997-&lt;/a&gt; (PacLII)&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/journals/JSPL/" target="_blank" rel="noopener"
&gt;Journal of South Pacific Law&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;American Samoa&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/as/cases/ASHC/" target="_blank" rel="noopener"
&gt;High Court of American Samoa Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Commonwealth of the Northern Mariana Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/mp/cases/MPSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Commonwealth of the Northern Mariana Islands&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Cook Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ck/legis/num_act/" target="_blank" rel="noopener"
&gt;Cook Islands Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ck/cases/CKHC/" target="_blank" rel="noopener"
&gt;High Court of the Cook Islands Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ck/legis/ck-nz_act/" target="_blank" rel="noopener"
&gt;New Zealand Legislation for Cook Islands&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ck/legis/ck-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Cook Islands&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Federated States of Micronesia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fm/legis/consol_act/" target="_blank" rel="noopener"
&gt;Federated States of Micronesia Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fm/legis/num_act/" target="_blank" rel="noopener"
&gt;Federated States of Micronesia Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fm/cases/FMSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Federated States of Micronesia Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Fiji Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fj/legis/consol_act/" target="_blank" rel="noopener"
&gt;Fiji Islands Consolidated Legislation 1985&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fj/legis/num_act/" target="_blank" rel="noopener"
&gt;Fiji Islands Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fj/cases/FJHC/" target="_blank" rel="noopener"
&gt;High Court of Fiji Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fj/cases/FJSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Fiji Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/fj/legis/fj-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Fiji&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Guam&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/gu/legis/consol_act/" target="_blank" rel="noopener"
&gt;Guam Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/gu/cases/GUSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Guam&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Kiribati&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ki/cases/KIHC/" target="_blank" rel="noopener"
&gt;High Court of Kiribati Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ki/cases/KIGIHC/" target="_blank" rel="noopener"
&gt;High Court of the Gilbert Islands Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ki/legis/consol_act/" target="_blank" rel="noopener"
&gt;Kiribati Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ki/legis/num_act/" target="_blank" rel="noopener"
&gt;Kiribati Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/depth/ki/legis/ki-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Kiribati&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Marshall Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/mh/cases/MHHC/" target="_blank" rel="noopener"
&gt;High Court of the Marshall Islands Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/mh/legis/consol_act/" target="_blank" rel="noopener"
&gt;Marshall Islands Consolidated Legislation 2004&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/mh/cases/MHSC/" target="_blank" rel="noopener"
&gt;Supreme Court of the Marshall Islands Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Nauru&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nr/legis/num_act/" target="_blank" rel="noopener"
&gt;Nauru Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nu/legis/nu-nz_act/" target="_blank" rel="noopener"
&gt;New Zealand Legislation for Niue&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nr/cases/NRSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Nauru Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nr/legis/nr-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Nauru&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nu/legis/nu-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Niue&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Niue&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nu/cases/NUHC/" target="_blank" rel="noopener"
&gt;High Court of Niue Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/nu/legis/num_act/" target="_blank" rel="noopener"
&gt;Niue Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Palau&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/pw/legis/consol_act/" target="_blank" rel="noopener"
&gt;Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/pw/cases/PWSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Palau&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Papua New Guinea&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/pg/cases/PGHCA/" target="_blank" rel="noopener"
&gt;Papua New Guinea-High Court of Australia&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Pitcairn Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/pn/cases/PNSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Pitcairn Islands&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Samoa&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/cases/WSHC/" target="_blank" rel="noopener"
&gt;High Court of Samoa Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/legis/ws-nz_act/" target="_blank" rel="noopener"
&gt;New Zealand Legislation for Samoa&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/legis/consol_act/" target="_blank" rel="noopener"
&gt;Samoa Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/legis/num_act/" target="_blank" rel="noopener"
&gt;Samoa Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/cases/WSNZSC/" target="_blank" rel="noopener"
&gt;Samoa-Supreme Court of New Zealand 1991&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/cases/WSNZCA/" target="_blank" rel="noopener"
&gt;Samoa-Supreme Court of New Zealand 1961&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/ws/cases/WSSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Samoa Decisions&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Solomon Islands&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/sb/legis/consol_act/" target="_blank" rel="noopener"
&gt;Solomon Islands Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/sb/legis/num_act/" target="_blank" rel="noopener"
&gt;Solomon Islands Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/sb/legis/sb-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Solomon Islands&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tokelau&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tk/legis/tk-nz_act/" target="_blank" rel="noopener"
&gt;New Zealand Legislation in Tokelau&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tk/legis/num_act/" target="_blank" rel="noopener"
&gt;Tokelau Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tk/legis/tk-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation in Tokelau&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tonga&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/to/cases/TOSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Tonga Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/to/legis/consol_act/" target="_blank" rel="noopener"
&gt;Tonga Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/to/legis/num_act/" target="_blank" rel="noopener"
&gt;Tonga Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/to/legis/to-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Tonga&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tuvalu&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tv/cases/TVHC/" target="_blank" rel="noopener"
&gt;High Court of Tuvalu Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tv/legis/consol_act/" target="_blank" rel="noopener"
&gt;Tuvalu Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tv/indices/legis/Tuvalu_legis_1991-2000.htm" target="_blank" rel="noopener"
&gt;Tuvalu Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/tv/legis/tv-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Tuvalu&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Vanuatu&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/cases/VUNHSC/" target="_blank" rel="noopener"
&gt;Supreme Court of New Hebrides Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/cases/VUSC/" target="_blank" rel="noopener"
&gt;Supreme Court of Vanuatu Decisions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/legis/vu-uk_act/" target="_blank" rel="noopener"
&gt;United Kingdom Legislation for Vanuatu&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/legis/consol_act/" target="_blank" rel="noopener"
&gt;Vanuatu Consolidated Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/legis/num_act/" target="_blank" rel="noopener"
&gt;Vanuatu Sessional Legislation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.paclii.org/vu/legis/num_act_fr/" target="_blank" rel="noopener"
&gt;Vanuatu Sessional Legislation (French)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;details&gt;
&lt;summary&gt;🌍 Official Government Portals (Curated, beyond WorldLII/CommonLII coverage)&lt;/summary&gt;
&lt;p&gt;Direct links to canonical government legal-data sources for jurisdictions where the WorldLII/CommonLII/SAFLII/AsianLII coverage above points to aggregators or has thin entries.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Latin America&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.bcn.cl/leychile/" target="_blank" rel="noopener"
&gt;Ley Chile (BCN)&lt;/a&gt; - 🇨🇱 Official consolidated database of Chilean laws, decrees, and Supreme Court jurisprudence linked to each norm (free).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.suin-juriscol.gov.co/" target="_blank" rel="noopener"
&gt;SUIN-Juriscol&lt;/a&gt; - 🇨🇴 Colombian Ministerio de Justicia portal; 87k+ norms from 1864 plus 13k+ Constitutional Court, Council of State, and Supreme Court judgments.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://spijweb.minjus.gob.pe/" target="_blank" rel="noopener"
&gt;SPIJ — Sistema Peruano de Información Jurídica&lt;/a&gt; - 🇵🇪 Ministry of Justice portal; constitutions, codes, laws from 1904, regulations from 1978, constitutional/administrative jurisprudence.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.impo.com.uy/" target="_blank" rel="noopener"
&gt;IMPO — Centro de Información Oficial&lt;/a&gt; - 🇺🇾 Uruguay&amp;rsquo;s official Diario Oficial portal with complete legislative history from Law No. 1.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.gacetaoficialdebolivia.gob.bo/" target="_blank" rel="noopener"
&gt;Gaceta Oficial de Bolivia&lt;/a&gt; - 🇧🇴 Official Gazette of the Plurinational State of Bolivia.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.gacetaoficial.gov.py/" target="_blank" rel="noopener"
&gt;Gaceta Oficial Paraguay&lt;/a&gt; - 🇵🇾 Daily official gazette publishing Paraguayan laws and decrees.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;MENA &amp;amp; Arabian Peninsula&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.boe.gov.sa/en/Pages/default.aspx" target="_blank" rel="noopener"
&gt;Bureau of Experts at the Council of Ministers&lt;/a&gt; - 🇸🇦 Saudi Arabia&amp;rsquo;s official portal for laws, regulations, royal decrees (Arabic/English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://uaelegislation.gov.ae/en" target="_blank" rel="noopener"
&gt;UAE Legislations Platform&lt;/a&gt; - 🇦🇪 Unified portal from the General Secretariat of the UAE Cabinet covering federal laws, executive regulations, and resolutions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.almeezan.qa/Default.aspx?language=en" target="_blank" rel="noopener"
&gt;Al-Meezan&lt;/a&gt; - 🇶🇦 Qatar&amp;rsquo;s Ministry of Justice portal covering all in-force and historical Qatari legislation since 1961.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://main.knesset.gov.il/en/activity/pages/basiclaws.aspx" target="_blank" rel="noopener"
&gt;Knesset National Legislation Database&lt;/a&gt; - 🇮🇱 Official Knesset database of Israeli laws and parliamentary process (Hebrew/English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://manshurat.org/" target="_blank" rel="noopener"
&gt;Manshurat&lt;/a&gt; - 🇪🇬 Searchable Egyptian Presidency Official Gazette plus other Arab-region legislation.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.sgg.gov.ma/BulletinOfficiel.aspx" target="_blank" rel="noopener"
&gt;SGG Maroc — Bulletin Officiel&lt;/a&gt; - 🇲🇦 Morocco&amp;rsquo;s Secrétariat Général du Gouvernement Official Bulletin (Arabic + French editions).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Southeast Asia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://sso.agc.gov.sg/" target="_blank" rel="noopener"
&gt;Singapore Statutes Online&lt;/a&gt; - 🇸🇬 Attorney-General&amp;rsquo;s Chambers free database of current and historical Singapore legislation and bills.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lom.agc.gov.my/" target="_blank" rel="noopener"
&gt;AGC Malaysia Federal Legislation&lt;/a&gt; - 🇲🇾 Official electronic Gazette publishing all Malaysian Acts and subsidiary legislation since 2011.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://ratchakitcha.soc.go.th/" target="_blank" rel="noopener"
&gt;Ratchakitcha — Royal Thai Government Gazette&lt;/a&gt; - 🇹🇭 Official Gazette where laws take force on publication; archive from 1858 (Thai).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://vbpl.vn/" target="_blank" rel="noopener"
&gt;VBPL — Vietnam National Legal Documents Database&lt;/a&gt; - 🇻🇳 Ministry of Justice database (relaunched April 2024 with article-level structured data).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://elibrary.judiciary.gov.ph/" target="_blank" rel="noopener"
&gt;Supreme Court E-Library (Philippines)&lt;/a&gt; - 🇵🇭 Official Supreme Court online repository of decisions and Philippine Reports.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;South Asia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://pakistancode.gov.pk/" target="_blank" rel="noopener"
&gt;Pakistan Code&lt;/a&gt; - 🇵🇰 Ministry of Justice consolidated federal statutes (English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://bdlaws.minlaw.gov.bd/" target="_blank" rel="noopener"
&gt;Laws of Bangladesh&lt;/a&gt; - 🇧🇩 Ministry of Law information system with up-to-date Bangladesh legislation (English/Bangla).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.parliament.lk/en/business-of-parliament/acts-bills" target="_blank" rel="noopener"
&gt;Parliament of Sri Lanka — Acts &amp;amp; Bills&lt;/a&gt; - 🇱🇰 All Acts and amendments 1948-present (English/Sinhala/Tamil).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;East Asia&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.elegislation.gov.hk/" target="_blank" rel="noopener"
&gt;Hong Kong e-Legislation (HKeL)&lt;/a&gt; - 🇭🇰 Department of Justice&amp;rsquo;s official, verified consolidated legislation portal — sole authoritative source since 2025.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://flk.npc.gov.cn/" target="_blank" rel="noopener"
&gt;National Database of Laws and Regulations (NPC)&lt;/a&gt; - 🇨🇳 Official NPC database covering statutes, legislative interpretations, and major decisions across all seven branches of Chinese law.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Eastern Europe &amp;amp; former USSR&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://pravo.gov.ru/" target="_blank" rel="noopener"
&gt;Official Internet Portal of Legal Information&lt;/a&gt; - 🇷🇺 Official daily-updated repository of Russian Federation laws and federal decrees.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://zakon.rada.gov.ua/laws/main/en/index" target="_blank" rel="noopener"
&gt;Legislation of Ukraine&lt;/a&gt; - 🇺🇦 Verkhovna Rada&amp;rsquo;s official legal database with English interface.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://adilet.zan.kz/eng" target="_blank" rel="noopener"
&gt;Adilet LIS&lt;/a&gt; - 🇰🇿 Kazakh Ministry of Justice Legal Information System (Kazakh/Russian/English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://zakony.gov.cz/" target="_blank" rel="noopener"
&gt;e-Sbírka&lt;/a&gt; - 🇨🇿 Official digital collection of Czech laws launched 2024 with historical versions and EUR-Lex/N-Lex integration.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.slov-lex.sk/web/en" target="_blank" rel="noopener"
&gt;Slov-Lex&lt;/a&gt; - 🇸🇰 Slovak Ministry of Justice portal with binding consolidated electronic texts (Slovak/English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://njt.hu/" target="_blank" rel="noopener"
&gt;Nemzeti Jogszabálytár (NJT)&lt;/a&gt; - 🇭🇺 Hungary&amp;rsquo;s free National Legislation Database run by Magyar Közlöny.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://legislatie.just.ro/" target="_blank" rel="noopener"
&gt;Portal Legislativ&lt;/a&gt; - 🇷🇴 Romanian Ministry of Justice consolidated portal for Monitorul Oficial Part I.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lex.bg/" target="_blank" rel="noopener"
&gt;Lex.bg&lt;/a&gt; - 🇧🇬 Comprehensive Bulgarian legal database mirroring State Gazette content.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://pisrs.si/" target="_blank" rel="noopener"
&gt;PIS-RS&lt;/a&gt; - 🇸🇮 Slovenia&amp;rsquo;s Pravno-informacijski sistem with Slovenian and EU legislation, case-law links.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.nn.hr/" target="_blank" rel="noopener"
&gt;Narodne novine&lt;/a&gt; - 🇭🇷 Croatian Official Gazette publishing laws, regulations, and constitutional court decisions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.pravno-informacioni-sistem.rs/" target="_blank" rel="noopener"
&gt;Pravno-informacioni sistem RS&lt;/a&gt; - 🇷🇸 Legal Information System of Serbia with electronic Official Gazette and case law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.riigiteataja.ee/en/" target="_blank" rel="noopener"
&gt;Riigi Teataja&lt;/a&gt; - 🇪🇪 Sole official electronic State Gazette of Estonia since 2010 (Estonian/English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://likumi.lv/" target="_blank" rel="noopener"
&gt;Likumi.lv&lt;/a&gt; - 🇱🇻 Official portal of consolidated Latvian legal acts (Latvian + selected English).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.e-tar.lt/" target="_blank" rel="noopener"
&gt;e-TAR&lt;/a&gt; - 🇱🇹 Lithuania&amp;rsquo;s official register of legal acts.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Nordic&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.retsinformation.dk/" target="_blank" rel="noopener"
&gt;Retsinformation&lt;/a&gt; - 🇩🇰 Official joint Danish legal-information system with statutes, executive orders, Folketing documents from 1985, and Ombudsman opinions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.lagrummet.se/" target="_blank" rel="noopener"
&gt;Lagrummet&lt;/a&gt; - 🇸🇪 Domstolsverket-coordinated portal aggregating SFS legislation, preparatory works, and higher-court case law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lovdata.no/" target="_blank" rel="noopener"
&gt;Lovdata&lt;/a&gt; - 🇳🇴 Foundation-run portal with Norsk Lovtidend, consolidated legislation, Supreme Court rulings (free + paid Pro tier).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.finlex.fi/en" target="_blank" rel="noopener"
&gt;Finlex&lt;/a&gt; - 🇫🇮 Ministry of Justice&amp;rsquo;s 30+ databanks: legislation, case law, treaties, government proposals (Finnish/Swedish/English); also &lt;a class="link" href="https://data.finlex.fi/" target="_blank" rel="noopener"
&gt;Semantic Finlex&lt;/a&gt; SPARQL endpoint.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.stjornartidindi.is/" target="_blank" rel="noopener"
&gt;Stjórnartíðindi&lt;/a&gt; - 🇮🇸 Iceland Government Gazette online edition.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Oceania&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legislation.govt.nz/" target="_blank" rel="noopener"
&gt;New Zealand Legislation&lt;/a&gt; - 🇳🇿 Parliamentary Counsel Office portal with all Bills, Acts, and Legislative Instruments.&lt;/li&gt;
&lt;/ul&gt;
&lt;/details&gt;
&lt;h4 id="international-courts--tribunals"&gt;International Courts &amp;amp; Tribunals
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.icj-cij.org/decisions" target="_blank" rel="noopener"
&gt;International Court of Justice (ICJ)&lt;/a&gt; - All judgments, orders, and advisory opinions since 1946; full PDF advanced search (English/French).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legal-tools.org/cld" target="_blank" rel="noopener"
&gt;ICC Case Law Database&lt;/a&gt; - 6,000+ legal findings from International Criminal Court judgments and decisions since 2004 (English/French).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.wto.org/english/tratop_e/dispu_e/dispu_e.htm" target="_blank" rel="noopener"
&gt;WTO Dispute Settlement Gateway&lt;/a&gt; - Panel and Appellate Body reports searchable by complainant, respondent, and agreement, with the WTO Analytical Index.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://corteidh.or.cr/casos_sentencias.cfm?lang=en" target="_blank" rel="noopener"
&gt;Inter-American Court of Human Rights&lt;/a&gt; - Contentious cases, advisory opinions, provisional measures, and monitoring decisions (Spanish/English/Portuguese).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.itlos.org/en/main/cases/list-of-cases/" target="_blank" rel="noopener"
&gt;ITLOS — International Tribunal for the Law of the Sea&lt;/a&gt; - All UNCLOS proceedings with pleadings, judgments, and webcasts (English/French).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://pca-cpa.org/cases/" target="_blank" rel="noopener"
&gt;Permanent Court of Arbitration (PCA)&lt;/a&gt; - Inter-state, investor-state, and commercial arbitration awards and procedural orders.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://icsid.worldbank.org/cases/case-database" target="_blank" rel="noopener"
&gt;ICSID Case Database&lt;/a&gt; - Searchable repository of all registered ICSID investor-state arbitrations with decisions, awards, and arbitrator profiles.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.african-court.org/cpmt/" target="_blank" rel="noopener"
&gt;African Court on Human and Peoples&amp;rsquo; Rights&lt;/a&gt; - Official AfCHPR case database with judgments, procedural decisions, provisional measures, and advisory opinions.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="global--multi-jurisdictional"&gt;Global &amp;amp; Multi-Jurisdictional
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.worldlii.org/databases.html" target="_blank" rel="noopener"
&gt;WorldLII&lt;/a&gt; - Federated gateway to 2,000+ legal databases across 200+ jurisdictions via national LIIs.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.commonlii.org" target="_blank" rel="noopener"
&gt;CommonLII&lt;/a&gt; - Searchable legal databases from 60+ Commonwealth and common law jurisdictions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.nyulawglobal.org/globalex/" target="_blank" rel="noopener"
&gt;GlobaLex (NYU)&lt;/a&gt; - Comprehensive research guides and database listings for international, comparative, and foreign law.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="united-states"&gt;United States
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://vaquill.ai" target="_blank" rel="noopener"
&gt;Vaquill AI&lt;/a&gt; - Free AI legal research across 8M+ US federal and state court opinions plus USC and CFR, with citation verification. &lt;em&gt;(Sponsor)&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.courtlistener.com" target="_blank" rel="noopener"
&gt;CourtListener&lt;/a&gt; - Free open case law search with API access. 9M+ opinions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://pacer.uscourts.gov" target="_blank" rel="noopener"
&gt;PACER&lt;/a&gt; - Official US federal court docket and document system.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://case.law" target="_blank" rel="noopener"
&gt;Caselaw Access Project&lt;/a&gt; - 6.9M US court decisions, 1600s-2020. Free bulk API.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.govinfo.gov" target="_blank" rel="noopener"
&gt;GovInfo&lt;/a&gt; - US federal legislation, regulations, and congressional records. Bulk data/API available.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ecfr.gov" target="_blank" rel="noopener"
&gt;eCFR&lt;/a&gt; - Up-to-date Code of Federal Regulations with a full bulk API.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://openstates.org" target="_blank" rel="noopener"
&gt;OpenStates&lt;/a&gt; - Open-source platform tracking US state legislation in real time.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ailawsbystate.com" target="_blank" rel="noopener"
&gt;AI Laws by State&lt;/a&gt; - Free 50-state tracker for U.S. artificial intelligence legislation, sourced from primary state legislature feeds. Covers bill status, effective dates, penalty structures, and topic categorization (deepfakes, hiring, healthcare AI, disclosure, bias audits).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://scholar.google.com" target="_blank" rel="noopener"
&gt;Google Scholar Case Law&lt;/a&gt; - Free US federal and state court opinions.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="united-kingdom"&gt;United Kingdom
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.bailii.org" target="_blank" rel="noopener"
&gt;BAILII&lt;/a&gt; - Free access to British and Irish primary legal materials.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://caselaw.nationalarchives.gov.uk" target="_blank" rel="noopener"
&gt;UK National Archives / Find Case Law&lt;/a&gt; - Official UK court decisions from 2001.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legislation.gov.uk" target="_blank" rel="noopener"
&gt;legislation.gov.uk&lt;/a&gt; - Full text of UK Acts of Parliament, statutory instruments.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="european-union"&gt;European Union
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://eur-lex.europa.eu" target="_blank" rel="noopener"
&gt;EUR-Lex&lt;/a&gt; - Official EU law portal. All legislation, case law, and treaties (24 languages). API available.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://curia.europa.eu/" target="_blank" rel="noopener"
&gt;CURIA (CJEU)&lt;/a&gt; - Official Court of Justice and General Court case law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://hudoc.echr.coe.int/" target="_blank" rel="noopener"
&gt;HUDOC (ECHR)&lt;/a&gt; - European Court of Human Rights judgments, decisions, and summaries.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://n-lex.europa.eu/" target="_blank" rel="noopener"
&gt;N-Lex&lt;/a&gt; - One-stop portal to official national law databases for all EU member states.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://data.europa.eu/en" target="_blank" rel="noopener"
&gt;OP (Publications Office)&lt;/a&gt; - EU Open Data Portal including legal metadata and bulk APIs.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="germany"&gt;Germany
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://openjur.de" target="_blank" rel="noopener"
&gt;OpenJur&lt;/a&gt; - Open-source database of German court decisions. Community-maintained.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://openlegaldata.io" target="_blank" rel="noopener"
&gt;OpenLegalData&lt;/a&gt; - German court decisions and legislation. REST API available.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.gesetze-im-internet.de" target="_blank" rel="noopener"
&gt;Gesetze im Internet&lt;/a&gt; - Official German federal law portal (all statutes). Free.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="france"&gt;France
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legifrance.gouv.fr" target="_blank" rel="noopener"
&gt;Legifrance&lt;/a&gt; - Official French legal portal. All statutes, regulations, and major court decisions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.courdecassation.fr/acces-rapide/judiciaire-judilibre" target="_blank" rel="noopener"
&gt;Judilibre (Cour de Cassation)&lt;/a&gt; - Open API for French Supreme Court decisions. GDPR-anonymized.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="india"&gt;India
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://indiankanoon.org" target="_blank" rel="noopener"
&gt;Indian Kanoon&lt;/a&gt; - Free access to Indian court judgments, statutes, and legal documents.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.indiacode.nic.in/" target="_blank" rel="noopener"
&gt;India Code&lt;/a&gt; - Central repository of all Central and State Acts and subordinate legislation.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://sci.gov.in" target="_blank" rel="noopener"
&gt;Supreme Court of India&lt;/a&gt; - Official portal with judgments from the Supreme Court of India.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://services.ecourts.gov.in" target="_blank" rel="noopener"
&gt;eCourts Services&lt;/a&gt; - Unified portal for Indian district and High Court case status.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="turkey"&gt;Turkey
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://avukatistan.com" target="_blank" rel="noopener"
&gt;Avukatistan&lt;/a&gt; - Turkish legal research and lawyer discovery platform with case law, legislation, legal questions, and practitioner profiles.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="china"&gt;China
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://wenshu.court.gov.cn" target="_blank" rel="noopener"
&gt;China Judgments Online (Wenshu)&lt;/a&gt; - Official Chinese court judgment database. 140M+ decisions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://flk.npc.gov.cn/" target="_blank" rel="noopener"
&gt;National Laws &amp;amp; Regulations Database&lt;/a&gt; - Official centralized repository of PRC laws and regulations.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://law.pku.edu.cn/lawen/" target="_blank" rel="noopener"
&gt;PKU LawInfo (Peking University)&lt;/a&gt; - Comprehensive Chinese laws and regulations database.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://elaws.e-gov.go.jp/" target="_blank" rel="noopener"
&gt;e-Gov Law Search (Japan)&lt;/a&gt; - Official Japanese laws and regulations portal with a full XML API.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="brazil"&gt;Brazil
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.lexml.gov.br" target="_blank" rel="noopener"
&gt;LexML Brasil&lt;/a&gt; - Federated search over Brazilian legislation and legal documents.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://portal.stf.jus.br/jurisprudencia/" target="_blank" rel="noopener"
&gt;STF Jurisprudencia&lt;/a&gt; - Brazilian Supreme Court (STF) decisions portal.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://dadosabertos.cnj.jus.br" target="_blank" rel="noopener"
&gt;CNJ Dados Abertos&lt;/a&gt; - National Council of Justice open judicial data and indicators.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="global--multijurisdictional"&gt;Global / Multijurisdictional
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.austlii.edu.au" target="_blank" rel="noopener"
&gt;AustLII&lt;/a&gt; - Free Australasian legal information.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.commonlii.org" target="_blank" rel="noopener"
&gt;CommonLII&lt;/a&gt; - Free access to common law jurisdictions worldwide.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.worldlii.org" target="_blank" rel="noopener"
&gt;WorldLII&lt;/a&gt; - Global free legal information network.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="open-source-ai-research-tools"&gt;Open-Source AI Research Tools
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/lawglance/lawglance" target="_blank" rel="noopener"
&gt;LawGlance&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Free RAG-based AI legal assistant with multi-jurisdictional knowledge bases.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/harvard-lil/olaw" target="_blank" rel="noopener"
&gt;OLAW (Harvard LIL)&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Tool-based RAG workbench from Harvard Library Innovation Lab for legal AI UX research.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/bukosabino/justicio" target="_blank" rel="noopener"
&gt;Justicio&lt;/a&gt; - &lt;strong&gt;[🇪🇸 Spain]&lt;/strong&gt; RAG assistant over the Boletín Oficial del Estado (BOE).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/i-dot-ai/lex" target="_blank" rel="noopener"
&gt;Lex (i.AI)&lt;/a&gt; - &lt;strong&gt;[🇬🇧 UK]&lt;/strong&gt; Open UK legal API for AI agents and researchers from the UK Government&amp;rsquo;s Incubator for AI.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Azure-Samples/graphrag-legalcases-postgres" target="_blank" rel="noopener"
&gt;GraphRAG Legal Cases&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Legal-research copilot reference architecture using GraphRAG on PostgreSQL (Azure Samples).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/tomasonjo-labs/legal-tech-chat" target="_blank" rel="noopener"
&gt;legal-tech-chat&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Reference pipeline: CUAD extraction → Neo4j knowledge graph → LangGraph agent.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="commercial-ai-research-platforms"&gt;Commercial AI Research Platforms
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://vaquill.ai" target="_blank" rel="noopener"
&gt;Vaquill AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; US legal research platform with agentic workflows, MCP server, and an API for developers building on top of US case law and statutes. &lt;em&gt;(Sponsor)&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://leya.law" target="_blank" rel="noopener"
&gt;Leya&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Agentic research and legal memo generation.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://paxton.ai" target="_blank" rel="noopener"
&gt;Paxton AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Jurisdiction-aware AI legal answers.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://evenuplaw.com" target="_blank" rel="noopener"
&gt;EvenUp&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Agentic demand letter generation and research for personal injury.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lexlegis.ai" target="_blank" rel="noopener"
&gt;Lexlegis.AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Indian legal research LLM trained on 10M+ documents.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://haqq.ai" target="_blank" rel="noopener"
&gt;HAQQ Legal AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Bilingual Arabic/English legal research, contract review, and case law search for MENA jurisdictions (Lebanon, GCC, Egypt).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://bluej.com" target="_blank" rel="noopener"
&gt;Blue J&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-powered answers to complex US/Canada/UK tax questions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://pro.bloomberglaw.com" target="_blank" rel="noopener"
&gt;Bloomberg Law&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Major US legal research platform with AI brief analysis and real-time legislative monitoring.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://vlex.com" target="_blank" rel="noopener"
&gt;vLex / Vincent AI&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Global coverage (1B+ documents, 17 countries) with cross-jurisdictional AI comparison.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://casetext.com" target="_blank" rel="noopener"
&gt;Casetext / CoCounsel Core&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; GPT-4 powered research memo generation and CARA AI brief analysis.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lexmachina.com" target="_blank" rel="noopener"
&gt;Lex Machina&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Litigation analytics predicting outcomes and benchmarking opposing counsel.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.docketalarm.com" target="_blank" rel="noopener"
&gt;Docket Alarm&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Federal and state docket monitoring with real-time alerts.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.manupatra.com" target="_blank" rel="noopener"
&gt;Manupatra&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Proprietary Indian legal database covering SC, HCs, and Tribunals.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="document-automation--drafting"&gt;Document Automation &amp;amp; Drafting
&lt;/h2&gt;&lt;p&gt;Software for generating, assembling, and reviewing legal documents.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://docassemble.org" target="_blank" rel="noopener"
&gt;Docassemble&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; The gold standard target for guided legal interviews and document assembly.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/SuffolkLITLab/docassemble-AssemblyLine" target="_blank" rel="noopener"
&gt;Suffolk LIT Lab Assembly Line&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Toolkit for Massachusetts court forms; reusable pattern for any jurisdiction.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/CommonAccord/Cmacc-Org" target="_blank" rel="noopener"
&gt;open-agreements&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; CommonAccord: legal documents as structured, linkable data.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/dealfluence/adeu" target="_blank" rel="noopener"
&gt;adeu&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Agentic DOCX Redlining Engine for Word document Track Changes.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://spellbook.legal" target="_blank" rel="noopener"
&gt;Spellbook&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI contract drafting and review assistant operating natively in Microsoft Word.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://clearbrief.com" target="_blank" rel="noopener"
&gt;Clearbrief&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-powered factual verification and drafting assistance in briefs.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.hotdocs.com" target="_blank" rel="noopener"
&gt;HotDocs&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Long-established document assembly software for law firms.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.thomsonreuters.com" target="_blank" rel="noopener"
&gt;ContractExpress&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Thomson Reuters&amp;rsquo; document automation platform.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://litera.com" target="_blank" rel="noopener"
&gt;Litera&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Document drafting, proofreading, and deal management suite.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/accordproject/template-archive" target="_blank" rel="noopener"
&gt;Accord Project Template Archive&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Smart legal contracts and templating system (Cicero / Concerto).&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.gavel.io/" target="_blank" rel="noopener"
&gt;Gavel (formerly Documate)&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; No-code document automation + online legal product builder used to ship apps in estate planning, family law, real estate, probate, and immigration.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="intellectual-property--patent-tech"&gt;Intellectual Property &amp;amp; Patent Tech
&lt;/h2&gt;&lt;p&gt;Platforms for patent searching, analytics, and intellectual property portfolio management.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.patsnap.com" target="_blank" rel="noopener"
&gt;PatSnap&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Patent analytics and intelligence powered by AI.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.anaqua.com" target="_blank" rel="noopener"
&gt;Anaqua&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Comprehensive IP management system.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.altlegal.com" target="_blank" rel="noopener"
&gt;AltLegal&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Automated trademark docketing and protection.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.trademarkia.com" target="_blank" rel="noopener"
&gt;Trademarkia&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Global trademark search engine and registration platform.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.solveintelligence.com/" target="_blank" rel="noopener"
&gt;Solve Intelligence&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; YC-backed AI for patent drafting, prosecution, and litigation used by DLA Piper, Intel, and Amgen; $40M Series B led by Visionaries (Dec 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://deepip.ai/" target="_blank" rel="noopener"
&gt;DeepIP&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; French-American AI platform spanning the full patent lifecycle (drafting, drawings, FTO, landscaping); $25M Series B led by Korelya Capital and Serena.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://ankar.ai/" target="_blank" rel="noopener"
&gt;Ankar&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Palantir-alumni-built AI patent OS for idea generation, drafting, prosecution, and infringement detection; €17M Series A led by Atomico (Dec 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://patlytics.ai/" target="_blank" rel="noopener"
&gt;Patlytics&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI patent intelligence engine for drafting, infringement detection, and invalidity analysis serving AmLaw 100 and Fortune 500; $14M Series A (Feb 2025).&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="contract-lifecycle-management-clm"&gt;Contract Lifecycle Management (CLM)
&lt;/h2&gt;&lt;p&gt;Platforms for managing contracts from creation through execution, obligations, and renewal.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://ironcladapp.com" target="_blank" rel="noopener"
&gt;Ironclad&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; CLM with AI clause detection, redlining, playbooks, and Jurist AI assistant.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.icertis.com" target="_blank" rel="noopener"
&gt;Icertis&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Enterprise CLM leader with Icertis Vera AI and agentic workflows.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.contractpodai.com" target="_blank" rel="noopener"
&gt;ContractPodAi / Leah&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Generative AI for CLM with native Microsoft Azure OpenAI integration.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.docusign.com/products/clm" target="_blank" rel="noopener"
&gt;DocuSign CLM&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Intelligent Agreement Management with AI-Assisted Review.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://robinai.com" target="_blank" rel="noopener"
&gt;Robin AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI contract negotiation and review platform.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.luminance.com" target="_blank" rel="noopener"
&gt;Luminance&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI for transactional, compliance, and litigation document review.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.lexcheck.com" target="_blank" rel="noopener"
&gt;LexCheck&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI for contract redlining and playbook enforcement.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://lexion.ai" target="_blank" rel="noopener"
&gt;Lexion&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-powered contract management backed by Google Ventures.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://legartis.ai" target="_blank" rel="noopener"
&gt;Legartis&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI contract review and risk analysis (German/European market focus).&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.lawgeex.com" target="_blank" rel="noopener"
&gt;LawGeex&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; AI contract review platform pre-screening against company policies.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://juro.com" target="_blank" rel="noopener"
&gt;Juro&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; All-in-one contract platform popular in UK/EU.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://avvoka.com" target="_blank" rel="noopener"
&gt;Avvoka&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; UK document automation and negotiation platform.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/wraft/wraft" target="_blank" rel="noopener"
&gt;Wraft&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Document lifecycle management with version control.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://ivo.ai/" target="_blank" rel="noopener"
&gt;Ivo&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Enterprise contract review AI used by Uber, Shopify, IBM, Reddit, and Canva; $55M Series B at ~$355M valuation led by Blackbird (2025-2026).&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.spotdraft.com/" target="_blank" rel="noopener"
&gt;SpotDraft&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; India-headquartered CLM with on-device VerifAI for clause extraction and risk scoring; $54M Series B (Feb 2025) + $8M extension.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/kipeum86/contract-review-agent" target="_blank" rel="noopener"
&gt;contract-review-agent&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Local-first AI agent that turns contracts into clause-level analysis with tracked-change DOCX redlines.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/evolsb/legal-redline-tools" target="_blank" rel="noopener"
&gt;legal-redline-tools&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Generates tracked-changes Word docs and redline PDFs from AI contract reviews.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="notarization--e-signature"&gt;Notarization &amp;amp; E-Signature
&lt;/h2&gt;&lt;p&gt;Platforms handling digital execution of documents and Remote Online Notarization (RON).&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.docusign.com" target="_blank" rel="noopener"
&gt;DocuSign&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; The global standard for e-signatures and agreement clouds.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.proof.com" target="_blank" rel="noopener"
&gt;Proof (formerly Notarize)&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Pioneer of Remote Online Notarization (RON).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/OpenSignLabs/OpenSign" target="_blank" rel="noopener"
&gt;OpenSign&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Free open-source DocuSign alternative (Parse Server + React); 6.3k+ stars.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="e-discovery--document-review"&gt;E-Discovery &amp;amp; Document Review
&lt;/h2&gt;&lt;p&gt;Platforms for collecting, processing, reviewing, and producing electronically stored information (ESI).&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.relativity.com" target="_blank" rel="noopener"
&gt;Relativity&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Industry leader; features aiR for Review and aiR for Privilege.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.everlaw.com" target="_blank" rel="noopener"
&gt;Everlaw&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Cloud-native with AI clustering (25M docs), trial prep, and predictive coding.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.nuix.com" target="_blank" rel="noopener"
&gt;Nuix&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; High-performance processing with Cognitive AI (CogAI) and 500+ pre-built models.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.revealdata.com" target="_blank" rel="noopener"
&gt;Reveal AI&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; AI-powered e-discovery with behavioral analytics and fraud detection.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.exterro.com" target="_blank" rel="noopener"
&gt;Exterro&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; End-to-end legal GRC platform with e-discovery and forensics.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.logikcull.com" target="_blank" rel="noopener"
&gt;Logikcull&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Self-service cloud e-discovery for small and mid-size firms.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://ipro.com" target="_blank" rel="noopener"
&gt;IPRO&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; E-discovery software for large-scale review and production.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://freeeed.org" target="_blank" rel="noopener"
&gt;FreeEed&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; AI-enabled e-discovery with OCR and metadata extraction.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://freeeed.org" target="_blank" rel="noopener"
&gt;FreeEed&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; AI-enabled cross-platform e-discovery platform with text extraction, metadata processing, and OCR.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="practice-management--legal-ops"&gt;Practice Management &amp;amp; Legal Ops
&lt;/h2&gt;&lt;p&gt;Software for running a law practice and legal department operations - case management, billing, calendaring, and workflow automation.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.clio.com" target="_blank" rel="noopener"
&gt;Clio&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Leading cloud-based practice management suite featuring Clio Duo AI.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://litera.com" target="_blank" rel="noopener"
&gt;Litera&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Document drafting, proofreading, and deal management suite.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://netdocuments.com" target="_blank" rel="noopener"
&gt;NetDocuments&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Leading cloud document management system (DMS) with AI-powered search.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.filevine.com" target="_blank" rel="noopener"
&gt;Filevine&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Legal operating system with AI-enhanced case lifecycle management.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://mitratech.com" target="_blank" rel="noopener"
&gt;Mitratech&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Enterprise-scale matter management and workflow automation.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.mycase.com" target="_blank" rel="noopener"
&gt;MyCase&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Practice management with MyCase IQ for AI writing assistance.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.smokeball.com" target="_blank" rel="noopener"
&gt;Smokeball&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Practice management with built-in activity intelligence and billing.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.cosmolex.com" target="_blank" rel="noopener"
&gt;CosmoLex&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Cloud-based legal accounting and practice management.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://darrow.ai" target="_blank" rel="noopener"
&gt;Darrow&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Litigation intelligence identifying meritorious lawsuits from public data.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://legalyze.ai" target="_blank" rel="noopener"
&gt;Legalyze.ai&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Litigation support specializing in AI extraction and chronology.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/judsonmitchell/ClinicCases" target="_blank" rel="noopener"
&gt;ClinicCases&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Case management for law school clinics.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.arkcase.com" target="_blank" rel="noopener"
&gt;ArkCase&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Adaptive case management for legal and government.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.j-lawyer.org" target="_blank" rel="noopener"
&gt;J-Lawyer&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; German law practice management.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://elint.in" target="_blank" rel="noopener"
&gt;Elint AI / Justice Accelerator&lt;/a&gt; - &lt;strong&gt;[Open Source]&lt;/strong&gt; Blockchain case management infrastructure for courts and ADR (India/UAE).&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://theoai.ai/" target="_blank" rel="noopener"
&gt;Theo AI&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Predictive AI for litigation defense and settlement outcome forecasting for enterprise legal departments.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://briefpoint.ai/" target="_blank" rel="noopener"
&gt;Briefpoint&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Patented AI for drafting discovery requests/responses with &amp;ldquo;Bridge&amp;rdquo; client-response automation; used by 1,500+ firms.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://bridgelegal.com/" target="_blank" rel="noopener"
&gt;Bridge Legal&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Bridgify AI workflow stack for mass-tort and PI firms covering intake, court-required questionnaires, and lifecycle management.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://patterndata.ai/" target="_blank" rel="noopener"
&gt;Pattern Data&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; HIPAA-compliant RAG-based engine that reads thousands of pages of medical records to score and structure mass-tort claims.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://steno.com/" target="_blank" rel="noopener"
&gt;Steno&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Court-reporting agency + Steno Connect remote-deposition platform + &amp;ldquo;Transcript Genius&amp;rdquo; AI; closed $46M financing in 2024.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.veritext.com/" target="_blank" rel="noopener"
&gt;Veritext&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; National court reporting/deposition firm with Veritext Virtual, realtime transcription, and Exhibit Share.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.burfordcapital.com/" target="_blank" rel="noopener"
&gt;Burford Capital&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; NYSE/LSE-listed litigation funder ($12.1B+ committed since inception) financing single cases, portfolios, and asset recovery.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://omnibridgeway.com/" target="_blank" rel="noopener"
&gt;Omni Bridgeway&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Global dispute-finance firm with ~A$3.5B cumulative capital across 11 funds, ASX-listed since 2001.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.qualia.com/" target="_blank" rel="noopener"
&gt;Qualia&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Leading cloud title/escrow/closing platform with Qualia Clear AI for title commitments and curative-task recommendations; &amp;gt;1M professionals.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://www.doma.com/" target="_blank" rel="noopener"
&gt;Doma&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Machine-learning title underwriting + instant fee balancing integrated with Chase, Wells Fargo, PennyMac; ~83% US residential coverage.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="e-billing--legal-spend-management"&gt;E-Billing &amp;amp; Legal Spend Management
&lt;/h2&gt;&lt;p&gt;Software designed for corporate legal departments to manage, audit, and analyze outside counsel spend.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://brightflag.com" target="_blank" rel="noopener"
&gt;Brightflag&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-powered invoice review and legal spend management.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.simplelegal.com" target="_blank" rel="noopener"
&gt;SimpleLegal&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Modern corporate legal operations software.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://counsellink.com" target="_blank" rel="noopener"
&gt;CounselLink&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; LexisNexis enterprise legal spend and matter management.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="consumer-legal-services-b2c"&gt;Consumer Legal Services (B2C)
&lt;/h2&gt;&lt;p&gt;Platforms delivering direct-to-consumer automated legal services, documents, and advice.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legalzoom.com" target="_blank" rel="noopener"
&gt;LegalZoom&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Market leader in online business formation and estate planning.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.rocketlawyer.com" target="_blank" rel="noopener"
&gt;Rocket Lawyer&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Online legal documents and on-demand legal advice.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://helloprenup.com" target="_blank" rel="noopener"
&gt;HelloPrenup&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Digital prenuptial agreement platform.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://donotpay.com" target="_blank" rel="noopener"
&gt;DoNotPay&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Consumer advocacy platform marketing itself as the &amp;ldquo;world&amp;rsquo;s first robot lawyer&amp;rdquo;.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://klaro.legal" target="_blank" rel="noopener"
&gt;Klaro Legal&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Translates contracts, official letters, and tax notices into plain language using AI. Supports 8 languages (DE, EN, ES, FR, IT, PT, TR).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://justiguide.com/" target="_blank" rel="noopener"
&gt;JustiGuide&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI immigration assistant (Dolores AI, trained on 1M+ cases) that scores visa eligibility, matches attorneys, and drafts filings in 12 languages; 47K+ users across 180+ countries.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.boundless.com/" target="_blank" rel="noopener"
&gt;Boundless Immigration&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Software + expert legal guidance for family, employment, and citizenship cases; acquired Localyze in Oct 2025 ($73.8M raised).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.visalaw.ai/" target="_blank" rel="noopener"
&gt;Visalaw.ai&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; SOC 2 Type II-certified immigration research/drafting platform co-developed with AILA on top of GPT-4 and AILA&amp;rsquo;s Cookbook.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.docketwise.com/" target="_blank" rel="noopener"
&gt;Docketwise&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Immigration-specific case management with dynamic form completion, billing, and CRM.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://hellodivorce.com/" target="_blank" rel="noopener"
&gt;Hello Divorce&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Venture-backed &amp;ldquo;TurboTax for divorce&amp;rdquo; with document automation + on-demand lawyers, mediators, and divorce coaches in all 50 states.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://trustandwill.com/" target="_blank" rel="noopener"
&gt;Trust &amp;amp; Will&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Largest US consumer estate-planning platform with attorney-network and AI features; raised $25M+ Series C (March 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.wealth.com/" target="_blank" rel="noopener"
&gt;Wealth.com&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Estate-planning platform for RIAs/wirehouses with &amp;ldquo;Ester&amp;rdquo; AI doc extraction; underpins wealth managers running &amp;gt;$15T AUM.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.solosuit.com/" target="_blank" rel="noopener"
&gt;SoloSuit&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; &amp;ldquo;TurboTax for debt-collection lawsuits&amp;rdquo; — auto-drafts answers and runs SoloSettle negotiations; has helped 350,000+ Americans protect $2.5B+ in debt.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="compliance--regtech"&gt;Compliance &amp;amp; RegTech
&lt;/h2&gt;&lt;p&gt;Tools for regulatory compliance, policy management, financial crime detection, and AI governance.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://drata.com" target="_blank" rel="noopener"
&gt;Drata&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; GRC automation with continuous monitoring for SOC 2, ISO 27001, HIPAA, GDPR, EU AI Act.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://vanta.com" target="_blank" rel="noopener"
&gt;Vanta&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Compliance automation with 375+ integrations and AI vendor risk assessment.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://complyadvantage.com" target="_blank" rel="noopener"
&gt;ComplyAdvantage&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-driven AML and financial crime detection.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.corlytics.com" target="_blank" rel="noopener"
&gt;Corlytics / Clausematch&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; RegTech for regulatory change management and compliance policy.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.getcerta.com" target="_blank" rel="noopener"
&gt;Certa&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Third-party risk management and vendor onboarding automation.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.onetrust.com" target="_blank" rel="noopener"
&gt;OneTrust&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Privacy, GRC, and ethics management platform with AI-powered workflows.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.navex.com" target="_blank" rel="noopener"
&gt;NAVEX&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Integrated risk and compliance management.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://kirasystems.com" target="_blank" rel="noopener"
&gt;Kira Systems&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; ML-based contract analysis for due diligence and compliance.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.getsphere.com/" target="_blank" rel="noopener"
&gt;Sphere&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; AI-native cross-border indirect tax (sales tax, VAT, GST) compliance engine serving Deel, Replit, and Lovable; $21M Series A led by a16z (Nov 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.climatecasechart.com/" target="_blank" rel="noopener"
&gt;Climate Case Chart&lt;/a&gt; - &lt;strong&gt;[Open / Academic]&lt;/strong&gt; Sabin Center + Arnold &amp;amp; Porter database of 2,600+ US and global climate-change cases across 54 jurisdictions, updated monthly.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.persefoni.com/" target="_blank" rel="noopener"
&gt;Persefoni&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; &amp;ldquo;ERP of carbon&amp;rdquo; climate-accounting platform supporting CSRD, SEC climate rule, TCFD, and CDP disclosures for enterprises and financial institutions.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="online-dispute-resolution-odr"&gt;Online Dispute Resolution (ODR)
&lt;/h2&gt;&lt;p&gt;Platforms designed to resolve disputes entirely online via algorithmic, crowdsourced, or mediated mechanisms.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.tylertech.com" target="_blank" rel="noopener"
&gt;TylerTech E-Filing&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; The underlying e-filing and case management infrastructure for US state e-Courts.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.modria.com" target="_blank" rel="noopener"
&gt;Modria&lt;/a&gt; - &lt;strong&gt;[Established]&lt;/strong&gt; Pioneer ODR platform (now owned by Tyler Technologies), originally built for eBay.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://kleros.io" target="_blank" rel="noopener"
&gt;Kleros&lt;/a&gt; - &lt;strong&gt;[AI-Native]&lt;/strong&gt; Decentralized, blockchain-based crowdsourced justice protocol.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="access-to-justice--public-interest-tech"&gt;Access to Justice &amp;amp; Public Interest Tech
&lt;/h2&gt;&lt;p&gt;Organizations and software actively using technology to advance access to justice, court systems, and open legal infrastructure.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://free.law" target="_blank" rel="noopener"
&gt;Free Law Project&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Maintains CourtListener, RECAP, and Eyecite.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://case.law" target="_blank" rel="noopener"
&gt;Harvard Law School - CAP&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Open case law project containing 6.9M digitized US cases.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://suffolklitlab.org" target="_blank" rel="noopener"
&gt;Suffolk LIT Lab&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; R&amp;amp;D center maintaining the Document Assembly Line.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.a2jauthor.org" target="_blank" rel="noopener"
&gt;A2J Author / CALI&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Guided interview software protecting self-represented litigants.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lsc.gov" target="_blank" rel="noopener"
&gt;Legal Services Corporation (LSC)&lt;/a&gt; - &lt;strong&gt;[Government]&lt;/strong&gt; Federal funder of civil legal aid via Technology Initiative Grants.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://probono.net" target="_blank" rel="noopener"
&gt;ProBono.net&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Online legal library providing pro bono resources for attorneys.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://upsolve.org" target="_blank" rel="noopener"
&gt;Upsolve&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Free Chapter 7 bankruptcy filing tool.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.justfix.org" target="_blank" rel="noopener"
&gt;JustFix&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Tenant rights and landlord communication tools for housing justice.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://asylumconnect.org" target="_blank" rel="noopener"
&gt;AsylumConnect&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Open-source resource matching for LGBTQ+ asylum seekers.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://eff.org" target="_blank" rel="noopener"
&gt;Electronic Frontier Foundation (EFF)&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Policy, advocacy, and legal defense for digital rights.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://freelegalanswers.org" target="_blank" rel="noopener"
&gt;ABA Free Legal Answers&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Virtual pro bono legal advice clinic.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.recidiviz.org/" target="_blank" rel="noopener"
&gt;Recidiviz&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; ex-Google nonprofit building a standardized criminal-justice data layer + reentry/parole tools; live in 19 state corrections agencies.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.clearmyrecord.org/" target="_blank" rel="noopener"
&gt;Clear My Record (Code for America)&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Code for America initiative powering automatic record-sealing/expungement; helped reduce or dismiss 144,000 California cannabis convictions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://worldjusticeproject.org/rule-of-law-index/" target="_blank" rel="noopener"
&gt;World Justice Project Rule of Law Index&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Annual data series measuring rule of law across 143 jurisdictions (95% of world population).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.hiil.org/" target="_blank" rel="noopener"
&gt;HiiL (Hague Institute for Innovation of Law)&lt;/a&gt; - &lt;strong&gt;[Nonprofit]&lt;/strong&gt; Justice Accelerator (110+ startups funded since 2011), Justice Innovation Labs, and people-centred justice research.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="foundational-research"&gt;Foundational Research
&lt;/h2&gt;&lt;p&gt;Seminal papers that shaped the field of legal AI and NLP. Essential reading for anyone building in this space.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2010.02559" target="_blank" rel="noopener"
&gt;LEGAL-BERT: The Muppets straight out of Law School&lt;/a&gt; - &lt;strong&gt;[2020]&lt;/strong&gt; - First large-scale BERT models pretrained on EU/US legal text; established the domain-adaptation benchmark for legal NLP&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2110.00976" target="_blank" rel="noopener"
&gt;LexGLUE: A Benchmark Dataset for Legal Language Understanding&lt;/a&gt; - &lt;strong&gt;[2022]&lt;/strong&gt; - 7-task legal NLP benchmark; the &amp;ldquo;GLUE for law&amp;rdquo;; drove standardized evaluation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2308.11462" target="_blank" rel="noopener"
&gt;LegalBench: A Collaboratively Built Benchmark for Legal Reasoning&lt;/a&gt; - &lt;strong&gt;[2023]&lt;/strong&gt; - 162-task benchmark built with practicing lawyers; most comprehensive LLM legal evaluation to date&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4389233" target="_blank" rel="noopener"
&gt;GPT-4 Passes the Bar Exam&lt;/a&gt; - &lt;strong&gt;[2023]&lt;/strong&gt; - Bommarito &amp;amp; Katz; showed LLMs can pass professional licensing exams; catalyzed investor and legal community attention&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2403.03883" target="_blank" rel="noopener"
&gt;SaulLM-7B: A pioneering Large Language Model for Law&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - First open-weight LLM continually pretrained on 30B+ legal tokens with instruction tuning&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://aclanthology.org/2024.acl-long.805/" target="_blank" rel="noopener"
&gt;MultiLegalPile: A 689GB Multilingual Legal Corpus&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - Largest open multilingual legal pretraining dataset; 24 languages, 17 jurisdictions&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.cambridge.org/core/books/artificial-intelligence-and-legal-analytics/E7D705EEF392501A1DB180645917E7E0" target="_blank" rel="noopener"
&gt;Artificial Intelligence and Legal Analytics&lt;/a&gt; - &lt;strong&gt;[2017]&lt;/strong&gt; - Kevin Ashley; foundational textbook on AI and law; covers case-based reasoning, argument mining, and legal knowledge representation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2401.01301" target="_blank" rel="noopener"
&gt;Large Legal Fictions: Profiling Legal Hallucinations in LLMs&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - Dahl, Magesh, Suzgun &amp;amp; Ho (Stanford RegLab / Yale) — empirical study showing 69-88% hallucination rates on verifiable case questions (Journal of Legal Analysis 2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2405.20362" target="_blank" rel="noopener"
&gt;Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - Magesh et al. (Stanford RegLab) — first preregistered evaluation of Lexis+ AI, Westlaw AI-Assisted Research, and Ask Practical Law AI; 17-33% hallucination despite RAG claims.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2407.19584" target="_blank" rel="noopener"
&gt;SaulLM-54B &amp;amp; SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - Colombo et al. (Equall) — 540B-token legal continued-pretraining recipe for Mixtral (NeurIPS 2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2406.14887" target="_blank" rel="noopener"
&gt;InternLM-Law: An Open Source Supervised Fine-tuned Large Language Model&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - Fei et al. (Shanghai AI Lab) — open-source Chinese legal LLM with 32K context, top of LawBench (COLING 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2410.21306" target="_blank" rel="noopener"
&gt;NLP for the Legal Domain: A Survey&lt;/a&gt; - &lt;strong&gt;[2024]&lt;/strong&gt; - Katz et al. — most comprehensive recent legal-NLP survey of tasks, datasets, models, and challenges (ACM Computing Surveys 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2501.17830" target="_blank" rel="noopener"
&gt;A Comprehensive Survey on Legal Summarization&lt;/a&gt; - &lt;strong&gt;[2025]&lt;/strong&gt; - Systematic survey of legal-summarization methods, datasets, and evaluation metrics.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2505.03970" target="_blank" rel="noopener"
&gt;A Reasoning-Focused Legal Retrieval Benchmark&lt;/a&gt; - &lt;strong&gt;[2025]&lt;/strong&gt; - Goebel et al. (CSLAW 2025) — retrieval benchmark emphasizing legal reasoning over surface matching.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="peer-reviewed-journals"&gt;Peer-Reviewed Journals
&lt;/h2&gt;&lt;p&gt;Academic journals publishing peer-reviewed legal-technology, computational-law, and AI-and-law research.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://link.springer.com/journal/10506" target="_blank" rel="noopener"
&gt;Artificial Intelligence and Law (Springer)&lt;/a&gt; - Flagship peer-reviewed journal of formal/computational models of legal reasoning since 1992; IF 3.1 (2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://law.stanford.edu/codex-the-stanford-center-for-legal-informatics/projects/computational-antitrust/" target="_blank" rel="noopener"
&gt;Stanford Computational Antitrust&lt;/a&gt; - CodeX-hosted open-access journal led by Thibault Schrepel; cross-agency reports from 25 antitrust authorities.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://jolt.law.harvard.edu/" target="_blank" rel="noopener"
&gt;Harvard Journal of Law &amp;amp; Technology (JOLT)&lt;/a&gt; - Harvard Law&amp;rsquo;s premier law-and-tech journal (Vol. 39 in 2025-26); also runs the JOLT Digest blog.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://btlj.org/" target="_blank" rel="noopener"
&gt;Berkeley Technology Law Journal (BTLJ)&lt;/a&gt; - America&amp;rsquo;s first technology-law journal (est. 1985); 4 issues/year; Vol. 40 (2025) covers AI trade secrets, algorithmic liability, antitrust, privacy.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.tandfonline.com/journals/rlit20" target="_blank" rel="noopener"
&gt;Law, Innovation and Technology (Taylor &amp;amp; Francis)&lt;/a&gt; - Hybrid OA peer-reviewed journal on ICT, biotech, neurotech, robotics, and AI; IF 3.07 (2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.sciencedirect.com/journal/computer-law-and-security-review" target="_blank" rel="noopener"
&gt;Computer Law &amp;amp; Security Review (Elsevier)&lt;/a&gt; - Q1 Scopus/SSCI peer-reviewed journal on IT and computer-security law (6 issues/year since 1985); IF 4.89 (2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://repository.nls.ac.in/ijlt/" target="_blank" rel="noopener"
&gt;Indian Journal of Law and Technology (IJLT)&lt;/a&gt; - NLSIU Bangalore student-run open-access journal (est. 2005).&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="benchmarks--evaluation"&gt;Benchmarks &amp;amp; Evaluation
&lt;/h2&gt;&lt;p&gt;Resources for evaluating AI and NLP systems on legal tasks.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/HazyResearch/legalbench" target="_blank" rel="noopener"
&gt;LegalBench&lt;/a&gt; - 162-task benchmark for English legal reasoning in LLMs. Live leaderboard maintained at &lt;a class="link" href="https://vals.ai" target="_blank" rel="noopener"
&gt;vals.ai&lt;/a&gt;.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/open-compass/LawBench" target="_blank" rel="noopener"
&gt;LawBench&lt;/a&gt; - 20-task Chinese legal benchmark evaluating LLMs across three cognitive levels.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/Kanon/MLEB" target="_blank" rel="noopener"
&gt;MLEB (Massive Legal Embedding Benchmark)&lt;/a&gt; - Comprehensive benchmark for legal text embedding models (Oct 2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.atticusprojectai.org/cuad" target="_blank" rel="noopener"
&gt;CUAD&lt;/a&gt; - Contract Understanding Atticus Dataset: extraction and classification benchmark for commercial contracts.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://metatext.io/datasets/ledgar" target="_blank" rel="noopener"
&gt;LEDGAR&lt;/a&gt; - Large-scale benchmark for legal contract provision classification.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/datasets/coastalcph/ecthr_cases" target="_blank" rel="noopener"
&gt;ECtHR Task&lt;/a&gt; - Legal judgment prediction benchmark using ECHR cases.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/maastrichtlawtech/awesome-legal-nlp" target="_blank" rel="noopener"
&gt;maastrichtlawtech/awesome-legal-nlp&lt;/a&gt; - Curated list of Legal NLP resources, models, datasets, and papers.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://codabench.org/competitions/3682/" target="_blank" rel="noopener"
&gt;JUST-NLP 2025 Legal MT&lt;/a&gt; - English-to-Hindi legal machine translation shared task benchmark; workshop at IJCNLP-AACL 2025.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/zeroentropy-ai/legalbenchrag" target="_blank" rel="noopener"
&gt;LegalBench-RAG&lt;/a&gt; - First retrieval benchmark for legal RAG: 6,858 expert-annotated query/span pairs over 79M characters of NDAs, M&amp;amp;A agreements, commercial contracts, and privacy policies (arXiv:2408.10343).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/CSHaitao/LegalAgentBench" target="_blank" rel="noopener"
&gt;LegalAgentBench&lt;/a&gt; - LLM-agent benchmark in the Chinese legal domain: 17 real-world corpora, 37 tools, 300 annotated multi-hop reasoning + writing tasks (2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/LEXam-Benchmark/LEXam" target="_blank" rel="noopener"
&gt;LEXam&lt;/a&gt; - &lt;strong&gt;[ICLR 2026]&lt;/strong&gt; Bilingual EN/DE law-school exam benchmark: 7,537 questions from 340 exams across 116 courses, mixing IRAC reasoning and MCQs.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/CSHaitao/LexEval" target="_blank" rel="noopener"
&gt;LexEval&lt;/a&gt; - &lt;strong&gt;[🇨🇳 ZH]&lt;/strong&gt; Comprehensive Chinese legal LLM benchmark: 14,150 questions across 23 tasks covering memorization, understanding, application, and ethics.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2408.07983" target="_blank" rel="noopener"
&gt;ArabLegalEval&lt;/a&gt; - &lt;strong&gt;[🇸🇦 AR]&lt;/strong&gt; Multitask Arabic legal-knowledge benchmark over Saudi regulations, MMLU/LegalBench-style (Aug 2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2510.00694" target="_blank" rel="noopener"
&gt;ALARB&lt;/a&gt; - &lt;strong&gt;[🇸🇦 AR]&lt;/strong&gt; Arabic Legal Argument Reasoning Benchmark: 13K Saudi commercial-court cases with facts, court reasoning, verdicts, and cited regulations (2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2508.03080" target="_blank" rel="noopener"
&gt;ContractEval&lt;/a&gt; - First benchmark for clause-level legal-risk identification in commercial contracts using CUAD; evaluates 4 proprietary + 15 open-source LLMs (2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2511.07979" target="_blank" rel="noopener"
&gt;MSLR (Multi-Step Legal Reasoning)&lt;/a&gt; - &lt;strong&gt;[🇨🇳 ZH]&lt;/strong&gt; First Chinese multi-step legal-reasoning benchmark structured around IRAC over real judicial decisions; unsaturated (o1-mini ~72% IRAC recall) (2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2509.24922" target="_blank" rel="noopener"
&gt;MASLegalBench&lt;/a&gt; - Multi-agent-systems benchmark for deductive legal reasoning across Issue/Rule/Application/Conclusion stages (2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/2505.24826" target="_blank" rel="noopener"
&gt;LegalEval-Q&lt;/a&gt; - Regression-based framework evaluating quality (clarity, coherence, terminology) of LLM-generated legal text across 49 LLMs (2025).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/hoorangyee/LRAGE" target="_blank" rel="noopener"
&gt;LRAGE&lt;/a&gt; - Framework for evaluating RAG pipelines specifically adapted for the legal domain.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/isaacus-dev/mleb" target="_blank" rel="noopener"
&gt;MLEB (source)&lt;/a&gt; - Evaluation code for the multidomain MLEB leaderboard across 6 jurisdictions.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/prinz-ai/prinzbench" target="_blank" rel="noopener"
&gt;prinzbench&lt;/a&gt; - Benchmark ranking LLMs on legal research and obscure-information retrieval.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="legal-ontologies--knowledge-graphs"&gt;Legal Ontologies &amp;amp; Knowledge Graphs
&lt;/h2&gt;&lt;p&gt;Structured vocabularies, ontologies, and knowledge graphs for representing legal concepts, relationships, and document structure.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://op.europa.eu/en/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/eurovoc" target="_blank" rel="noopener"
&gt;EuroVoc&lt;/a&gt; - EU&amp;rsquo;s multilingual thesaurus covering subjects of EU legislation. 7,000+ concepts in 24 languages. Used for tagging EUR-Lex documents.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/RinkeHoekstra/lkif-core" target="_blank" rel="noopener"
&gt;LKIF-Core&lt;/a&gt; - Legal Knowledge Interchange Format; OWL ontology for basic legal concepts (norms, agents, documents, time). Foundation for many legal knowledge systems.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.sali.org" target="_blank" rel="noopener"
&gt;SALI LMSS (Legal Matter Standard Specification)&lt;/a&gt; - Structured ontology for legal matter types, service types, and industry codes. Open standard for legal operations data.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.wikidata.org/wiki/Wikidata:WikiProject_Law" target="_blank" rel="noopener"
&gt;Wikidata Legal Entities&lt;/a&gt; - WikiProject Law: structured data on courts, cases, legislation, and legal concepts in Wikidata. Machine-readable and freely licensed.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/abs/1404.0370" target="_blank" rel="noopener"
&gt;PROLEG (Japanese Legal Ontology)&lt;/a&gt; - Formal representation of Japanese civil law rules for logic-based legal reasoning. Developed at NII Tokyo.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://data.europa.eu/eli/ontology" target="_blank" rel="noopener"
&gt;ELI Ontology&lt;/a&gt; - European Legislation Identifier vocabulary for national/EU legislation metadata, built on FRBR; v1.5 + ELI Impact Ontology v1.0 (2024).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.iflastandards.info/lrm" target="_blank" rel="noopener"
&gt;LRMoo&lt;/a&gt; - IFLA Library Reference Model (object-oriented); 2024-25 successor to FRBRoo increasingly used for diachronic legal-norm modeling and graph-RAG over legislation.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Liquid-Legal-Institute/Legal-Ontologies" target="_blank" rel="noopener"
&gt;Liquid Legal Institute — Legal Ontologies Registry&lt;/a&gt; - Curated, actively-maintained index of legal ontologies, schemas, and vocabularies (CC-BY-4.0).&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="standards--protocols"&gt;Standards &amp;amp; Protocols
&lt;/h2&gt;&lt;p&gt;Open standards and specifications relevant to legal technology and AI integration.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://modelcontextprotocol.io" target="_blank" rel="noopener"
&gt;Model Context Protocol (MCP)&lt;/a&gt; - Anthropic&amp;rsquo;s open standard for connecting AI models to external data sources. Adopted by Microsoft, Google, OpenAI.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.sali.org" target="_blank" rel="noopener"
&gt;SALI (Standards Advancement for the Legal Industry)&lt;/a&gt; - Open standard for legal matter data (LMSS - Legal Matter Standard Specification).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://ledes.org" target="_blank" rel="noopener"
&gt;LEDES (Legal Electronic Data Exchange Standard)&lt;/a&gt; - Standard formats for legal billing (e-billing).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://artificialintelligenceact.eu" target="_blank" rel="noopener"
&gt;EU AI Act&lt;/a&gt; - World&amp;rsquo;s first comprehensive AI regulation law. In force Aug 2024; full applicability Aug 2026. Directly impacts legal AI tools.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://docs.oasis-open.org/legaldocml/" target="_blank" rel="noopener"
&gt;LegalXML / OASIS LegalDocML&lt;/a&gt; - XML schema standard for legal documents (bills, statutes, regulations). Used by parliaments globally.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://edrm.net" target="_blank" rel="noopener"
&gt;EDRM (Electronic Discovery Reference Model)&lt;/a&gt; - Industry standard framework for e-discovery workflows, data models, and specifications.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="legaltech-directories--product-listing-platforms"&gt;Legaltech Directories &amp;amp; Product Listing Platforms
&lt;/h2&gt;&lt;p&gt;Platforms that index, curate, review, or list legal technology products — useful for discovery, vendor evaluation, and market research.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://legaltechnologyhub.com" target="_blank" rel="noopener"
&gt;Legaltech Hub&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Global directory of legaltech solutions with filters by category, use case, jurisdiction, and language.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.lawnext.com" target="_blank" rel="noopener"
&gt;LawNext Legal Tech Directory&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Bob Ambrogi&amp;rsquo;s legal tech news site with a searchable product directory covering company details, reviews, press coverage, and pricing.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://abovethelaw.com" target="_blank" rel="noopener"
&gt;Above the Law&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Legal news publication with legaltech coverage and a buyer&amp;rsquo;s guide for law firm software.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legaltechnology.com" target="_blank" rel="noopener"
&gt;Legal IT Professionals Directory&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Vendor database and software directory primarily for larger law firms and enterprise legal IT.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://theoremlegal.com" target="_blank" rel="noopener"
&gt;Theorem LTS&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Legal tech marketplace with comparison tools, pricing, media, and vendor demo connections.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.g2.com/categories/legal" target="_blank" rel="noopener"
&gt;G2 - Legal Software&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Peer review platform with verified user ratings for legal software across 33+ subcategories.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.capterra.com/legal-software/" target="_blank" rel="noopener"
&gt;Capterra - Legal Software&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Software comparison platform ranking legal tools by user ratings and popularity.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.getapp.com/legal-compliance-software/" target="_blank" rel="noopener"
&gt;GetApp - Legal Software&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Software marketplace with verified reviews, comparisons, and feature filters for legal tools.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.softwareadvice.com/legal/" target="_blank" rel="noopener"
&gt;Software Advice - Legal&lt;/a&gt; - &lt;strong&gt;[Global]&lt;/strong&gt; - Platform helping law firms choose software through comparisons and analyst recommendations.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://isail.in" target="_blank" rel="noopener"
&gt;ISAIL (Indian Society of AI and Law)&lt;/a&gt; - &lt;strong&gt;[Policy + Standards]&lt;/strong&gt; - Indian not-for-profit focused on AI policy, standards, and governance. Administers the AiStandard.io Alliance.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.barandbench.com" target="_blank" rel="noopener"
&gt;Bar and Bench&lt;/a&gt; - &lt;strong&gt;[Media]&lt;/strong&gt; - Indian legal news publication with coverage of court tech, legaltech, and legal AI developments.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lawtech.uk" target="_blank" rel="noopener"
&gt;LawTech UK&lt;/a&gt; - &lt;strong&gt;[Directory + Community]&lt;/strong&gt; - UK government-backed initiative with an ecosystem map and resources for the UK lawtech sector.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legalgeek.co" target="_blank" rel="noopener"
&gt;LegalGeek&lt;/a&gt; - &lt;strong&gt;[Community + Events]&lt;/strong&gt; - UK legaltech conference and community with vendor showcases and market coverage.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://law.stanford.edu/codex-the-stanford-center-for-legal-informatics/" target="_blank" rel="noopener"
&gt;Stanford CodeX&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; - Stanford Center for Legal Informatics. Hosts the FutureLaw conference and computational law research.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://law.stanford.edu/organizations/pages/legal-design-lab/" target="_blank" rel="noopener"
&gt;Legal Design Lab (Stanford)&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; - Stanford lab focused on technology and design for access to justice.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://reglab.stanford.edu/" target="_blank" rel="noopener"
&gt;Stanford RegLab&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Stanford Regulation, Evaluation, and Governance Lab; partners with IRS, courts, and local governments; behind the 2024 Westlaw/Lexis+ AI hallucination studies.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://law.yale.edu/isp" target="_blank" rel="noopener"
&gt;Yale Information Society Project (ISP)&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Yale Law School&amp;rsquo;s flagship law-tech-society center (founded 1997, Jack Balkin); runs MFIA Clinic and Majority World Initiative.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.law.berkeley.edu/research/bclt/" target="_blank" rel="noopener"
&gt;Berkeley Center for Law &amp;amp; Technology (BCLT)&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; UC Berkeley&amp;rsquo;s interdisciplinary center for IP, privacy, cybersecurity, and AI law; co-sponsors PLSC and IPSC.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.maastrichtuniversity.nl/research/law-and-tech-lab" target="_blank" rel="noopener"
&gt;Maastricht Law and Tech Lab&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Co-creation lab combining law, data science, and knowledge engineering; maintains the widely-cited &lt;code&gt;awesome-legal-nlp&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://centri.unibo.it/alma-ai/en/scientific-units/ai-for-law-and-governance" target="_blank" rel="noopener"
&gt;CIRSFID-AI / ALMA-AI (University of Bologna)&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Bologna&amp;rsquo;s interdepartmental center for AI, law, and legal informatics (founded 1986); home to the Legal Blockchain Lab and Legal Machine Lab.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legaltechcenter.de/en/" target="_blank" rel="noopener"
&gt;Bucerius Center for Legal Technology and Data Science&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Hamburg-based center led by Dan Katz and Dirk Hartung; runs the free annual Legal Tech Essentials lecture series with SMU.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://law.nus.edu.sg/trail/" target="_blank" rel="noopener"
&gt;NUS TRAIL — Centre for Technology, Robotics, AI and the Law&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; NUS Law&amp;rsquo;s interdisciplinary think-tank on AI/robotics regulation and data protection; runs AI Governance &amp;amp; Liability conference series.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://cdl.smu.edu.sg/" target="_blank" rel="noopener"
&gt;SMU Centre for Digital Law&lt;/a&gt; - &lt;strong&gt;[Academic]&lt;/strong&gt; Singapore Management University NRF-funded program building DSLs for &amp;ldquo;smart&amp;rdquo; contracts and statutes (S$15M grant); hosts ICAIL 2026.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.atticusprojectai.org/" target="_blank" rel="noopener"
&gt;Atticus Project&lt;/a&gt; - &lt;strong&gt;[Nonprofit/Academic]&lt;/strong&gt; Nonprofit of practicing attorneys producing open-source benchmarks (CUAD, MAUD, ACORD) and AI education for legal practice.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="legaltech-ecosystem-infrastructure"&gt;Legaltech Ecosystem Infrastructure
&lt;/h2&gt;&lt;p&gt;Funding, incubators, regulatory sandboxes, and court-modernization programs that shape where legaltech gets built and adopted.&lt;/p&gt;
&lt;h3 id="legaltech-focused-funds"&gt;Legaltech-Focused Funds
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legaltech.com/" target="_blank" rel="noopener"
&gt;The LegalTech Fund&lt;/a&gt; - &lt;strong&gt;[VC]&lt;/strong&gt; First VC dedicated exclusively to legal tech (Fort Lauderdale); closed $110M Fund II in Nov 2025; 80+ portfolio companies.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.nextlawventures.vc/" target="_blank" rel="noopener"
&gt;NextLaw Ventures&lt;/a&gt; - &lt;strong&gt;[VC]&lt;/strong&gt; Dentons-founded early-stage VC focused exclusively on legaltech (ROSS, Doxly, Apperio, Clause).&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="law-firm-innovation-labs"&gt;Law Firm Innovation Labs
&lt;/h3&gt;&lt;p&gt;Notable, multi-cohort innovation programs and tech subsidiaries inside major law firms.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://lab.mdr.london/" target="_blank" rel="noopener"
&gt;MDR Lab (Mishcon de Reya)&lt;/a&gt; - 🇬🇧 UK&amp;rsquo;s first dedicated legaltech incubator (since 2017); alumni (DraftWise, Thirdfort, ayora, Version Story) raised £100M+.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.aoshearman.com/en/expertise/fuse" target="_blank" rel="noopener"
&gt;A&amp;amp;O Shearman Fuse&lt;/a&gt; - 🇬🇧 First permanent law-firm legaltech incubator (since 2017); 90+ alumni who raised $1.5B+.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.slaughterandmay.com/news/slaughter-and-may-launches-legal-tech-programme/" target="_blank" rel="noopener"
&gt;Slaughter and May Collaborate&lt;/a&gt; - 🇬🇧 12-week legaltech programme (since 2019) with access to 70+ client organisations; optional investment via S+M Ventures.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://gravitystack.com/" target="_blank" rel="noopener"
&gt;Reed Smith Gravity Stack&lt;/a&gt; - 🇺🇸 Reed Smith&amp;rsquo;s wholly-owned tech subsidiary (since 2018), 500+ people, builds AI for litigation, eDiscovery, and M&amp;amp;A.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.dlapiper.com/en/insights/topics/law-and" target="_blank" rel="noopener"
&gt;DLA Piper Law&amp;amp;&lt;/a&gt; - 🌍 Law&amp;amp; innovation arm with 100+ AI lawyers and tools like Aiscension, Prisca AI Compliance, Transfer.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="regulatory-sandboxes--bar-innovation-programs"&gt;Regulatory Sandboxes &amp;amp; Bar Innovation Programs
&lt;/h3&gt;&lt;p&gt;Regulatory authorities and bar associations enabling new legal-services delivery models, including non-lawyer ownership and software-delivered legal services.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://utahinnovationoffice.org/" target="_blank" rel="noopener"
&gt;Utah Office of Legal Services Innovation (Sandbox)&lt;/a&gt; - 🇺🇸 Utah Supreme Court regulatory sandbox (since 2020, extended through 2027) authorising non-lawyer ownership and software-delivered legal services.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.azcourts.gov/cld/Alternative-Business-Structures" target="_blank" rel="noopener"
&gt;Arizona ABS Program&lt;/a&gt; - 🇺🇸 First US state to eliminate Rule 5.4 (2020); 136+ approved Alternative Business Structures.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.sra.org.uk/solicitors/resources/innovate/" target="_blank" rel="noopener"
&gt;SRA Innovate&lt;/a&gt; - 🇬🇧 Solicitors Regulation Authority programme for lawtech trials, the Virtual Innovation Hub (with Swansea), and pre-application guidance for novel legal-services models.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.americanbar.org/groups/centers_commissions/center-for-innovation/" target="_blank" rel="noopener"
&gt;ABA Center for Innovation&lt;/a&gt; - 🇺🇸 ABA&amp;rsquo;s collaborative innovation hub; publishes the annual Innovation Trends Report.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.americanbar.org/groups/leadership/office_of_the_president/artificial-intelligence/" target="_blank" rel="noopener"
&gt;ABA Task Force on Law and AI&lt;/a&gt; - 🇺🇸 ABA Year 2 (2025) report concluding AI has moved from experiment to infrastructure across courts, education, and access-to-justice.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="court-technology-modernization-programs"&gt;Court Technology Modernization Programs
&lt;/h3&gt;&lt;p&gt;Major government and judicial-branch programs digitising courts, e-filing, and case management.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ncsc.org/" target="_blank" rel="noopener"
&gt;National Center for State Courts (NCSC)&lt;/a&gt; - 🇺🇸 Independent nonprofit driving US state-court tech; publishes Trends in State Courts and runs the CTC conference.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ncsc.org/our-centers-projects/joint-technology-committee" target="_blank" rel="noopener"
&gt;Joint Technology Committee (JTC)&lt;/a&gt; - 🇺🇸 NCSC/COSCA/NACM committee publishing court-tech standards, AI for Courts bulletin, and Cybersecurity Basics for Courts.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.gov.uk/guidance/the-hmcts-reform-programme" target="_blank" rel="noopener"
&gt;HMCTS Reform Programme&lt;/a&gt; - 🇬🇧 £1.3B portfolio of 44 court-modernization projects (2016–2025); delivered Common Platform and video tech in 70%+ courtrooms.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.eulisa.europa.eu/topics/e-codex" target="_blank" rel="noopener"
&gt;e-CODEX (eu-LISA)&lt;/a&gt; - 🇪🇺 Decentralized EU interoperability layer for cross-border judicial data exchange; integrated into eu-LISA in 2024.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://e-justice.europa.eu/home_en" target="_blank" rel="noopener"
&gt;European e-Justice Portal&lt;/a&gt; - 🇪🇺 EU&amp;rsquo;s 23-language one-stop justice portal aligned with the e-Justice Strategy 2024-2028.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://doj.gov.in/phase-iii/" target="_blank" rel="noopener"
&gt;India e-Courts Mission Mode Project Phase III&lt;/a&gt; - 🇮🇳 ₹7,210 crore (2023-27) programme digitising legacy records (637+ crore pages), virtual courts, and AI/ML for case scheduling.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://e-estonia.com/solutions/e-governance/justice-public-safety/" target="_blank" rel="noopener"
&gt;Estonia e-File&lt;/a&gt; - 🇪🇪 Pan-Estonian central judicial information system underpinning e-Justice; AI speech-recognition assistant &amp;ldquo;Salme&amp;rdquo; deployed across courts.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="communities-conferences--media"&gt;Communities, Conferences &amp;amp; Media
&lt;/h2&gt;&lt;p&gt;Stay current with the legaltech ecosystem.&lt;/p&gt;
&lt;h3 id="communities--forums"&gt;Communities &amp;amp; Forums
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://legalhackers.org" target="_blank" rel="noopener"
&gt;Legal Hackers&lt;/a&gt; - Global community of lawyers, engineers, policy professionals. Local chapters worldwide.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lawtech.uk" target="_blank" rel="noopener"
&gt;LawTech.UK&lt;/a&gt; - UK-focused legal innovation community.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://huggingface.co/HFforLegal" target="_blank" rel="noopener"
&gt;HFforLegal (Hugging Face)&lt;/a&gt; - Community for legal AI practitioners on Hugging Face.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://cloc.org" target="_blank" rel="noopener"
&gt;CLOC (Corporate Legal Operations Consortium)&lt;/a&gt; - 3,000+ member community for in-house legal operations professionals.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://suffolklitlab.org/howto/" target="_blank" rel="noopener"
&gt;Suffolk LIT Lab Slack&lt;/a&gt; - Public Slack channels from the nation&amp;rsquo;s top-ranked legal-tech program; access-to-justice and document-automation focus.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legal.io/" target="_blank" rel="noopener"
&gt;Legal.io HQ&lt;/a&gt; - Community of 4,000+ attorneys and legal-ops professionals (Slack + jobs board).&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="reddit-communities"&gt;Reddit Communities
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://reddit.com/r/legaltech" target="_blank" rel="noopener"
&gt;r/LegalTech&lt;/a&gt; - The primary subreddit strictly dedicated to legal technology discussion, software, and AI in law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://reddit.com/r/lawfirm" target="_blank" rel="noopener"
&gt;r/LawFirm&lt;/a&gt; - Focuses on the business of law. Highly active discussions on practice management software, marketing, and tech stacks.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://reddit.com/r/lawyers" target="_blank" rel="noopener"
&gt;r/Lawyers&lt;/a&gt; - &lt;em&gt;Private community for verified lawyers only.&lt;/em&gt; Frequently discusses the practical reality and adoption of legaltech tools.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://reddit.com/r/artificial" target="_blank" rel="noopener"
&gt;r/artificial&lt;/a&gt; - Not law-specific, but frequently hosts high-level discussions on the intersection of AI, copyright, and legal compliance.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="conferences"&gt;Conferences
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legalweek.com" target="_blank" rel="noopener"
&gt;Legalweek&lt;/a&gt; - Annual legaltech conference in New York.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.iltanet.org/events/iltacon" target="_blank" rel="noopener"
&gt;ILTACON&lt;/a&gt; - International Legal Technology Association annual conference.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://cloc.org" target="_blank" rel="noopener"
&gt;CLOC Global Institute&lt;/a&gt; - Annual conference for corporate legal operations.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.legalgeek.co" target="_blank" rel="noopener"
&gt;LegalGeek&lt;/a&gt; - UK-based innovation conference for the legal industry.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://iaail.org/" target="_blank" rel="noopener"
&gt;ICAIL — International Conference on AI and Law&lt;/a&gt; - IAAIL&amp;rsquo;s flagship academic conference (since 1987); now annual. ICAIL 2025 at Northwestern; ICAIL 2026 at SMU Singapore.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://jurix.nl/" target="_blank" rel="noopener"
&gt;JURIX&lt;/a&gt; - International Conference on Legal Knowledge and Information Systems (since 1988); proceedings published in IOS Press FAIA (gold OA).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://nllpw.org/workshop/" target="_blank" rel="noopener"
&gt;NLLP Workshop&lt;/a&gt; - Premier Natural Legal Language Processing workshop co-located with EMNLP since 2021.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://coliee.org/" target="_blank" rel="noopener"
&gt;COLIEE&lt;/a&gt; - Annual Competition on Legal Information Extraction/Entailment on Japanese and Canadian case- and statute-law.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://conferences.law.stanford.edu/futurelaw/" target="_blank" rel="noopener"
&gt;CodeX FutureLaw&lt;/a&gt; - Stanford CodeX&amp;rsquo;s flagship annual gathering for legal informatics; 2025 marked the 20th anniversary.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://globallegalhackathon.com/" target="_blank" rel="noopener"
&gt;Global Legal Hackathon&lt;/a&gt; - World&amp;rsquo;s largest legal hackathon; runs in 75+ countries with a London-based international final.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="newsletters--media"&gt;Newsletters &amp;amp; Media
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.artificiallawyer.com" target="_blank" rel="noopener"
&gt;Artificial Lawyer&lt;/a&gt; - Deep-coverage publication on AI and legal tech. Free daily news.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.lawnext.com" target="_blank" rel="noopener"
&gt;Lawnext&lt;/a&gt; - Podcast and news by Bob Ambrogi on legal technology innovation.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://legaltech-talk.com" target="_blank" rel="noopener"
&gt;Legal Tech Talk&lt;/a&gt; - News and analysis on legal technology trends.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://legal-innovators.com" target="_blank" rel="noopener"
&gt;The Legal Innovators&lt;/a&gt; - Newsletter covering the business of law and legaltech.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://thebrainyacts.beehiiv.com/" target="_blank" rel="noopener"
&gt;Brainyacts&lt;/a&gt; - Josh Kubicki&amp;rsquo;s near-daily newsletter on generative AI in law (6,000+ subscribers).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://legaltechnology.com/" target="_blank" rel="noopener"
&gt;Legal IT Insider / The Orange Rag&lt;/a&gt; - Caroline Hill&amp;rsquo;s daily news plus monthly Orange Rag digital newsletter; running since 1995.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://jordanfurlong.substack.com/" target="_blank" rel="noopener"
&gt;Jordan Furlong Substack&lt;/a&gt; - Weekly newsletter from legal-industry analyst Jordan Furlong (replacement for his Law21 blog).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.geeklawblog.com/podcast" target="_blank" rel="noopener"
&gt;The Geek In Review&lt;/a&gt; - Greg Lambert and Marlene Gebauer&amp;rsquo;s weekly legaltech podcast tied to 3 Geeks and a Law Blog.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://lawyerist.com/podcast/" target="_blank" rel="noopener"
&gt;Lawyerist Podcast&lt;/a&gt; - Stephanie Everett and Zack Glaser&amp;rsquo;s weekly podcast on law-firm tech and management (617+ episodes).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.lawdroidmanifesto.com/podcast" target="_blank" rel="noopener"
&gt;LawDroid Manifesto&lt;/a&gt; - Tom Martin&amp;rsquo;s Substack-hosted interview show on legal AI and access to justice.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://patentlyo.com/" target="_blank" rel="noopener"
&gt;Patently-O&lt;/a&gt; - Prof. Dennis Crouch&amp;rsquo;s leading US patent-law blog with daily Federal Circuit analysis.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://ipkitten.blogspot.com/" target="_blank" rel="noopener"
&gt;The IPKat&lt;/a&gt; - UK/EU IP-law blog by Eleonora Rosati and team; multiple posts weekly.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.village-justice.com/" target="_blank" rel="noopener"
&gt;Village de la Justice&lt;/a&gt; - 🇫🇷 France&amp;rsquo;s permanent observatory of legaltech actors plus daily legal-profession news.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.juve.de/" target="_blank" rel="noopener"
&gt;JUVE&lt;/a&gt; - 🇩🇪 German legal-market publication with a dedicated Legal Tech &amp;amp; Legal Operations section.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.livelaw.in/" target="_blank" rel="noopener"
&gt;LiveLaw&lt;/a&gt; - 🇮🇳 India&amp;rsquo;s leading legal-news portal — Supreme Court and High Court breaking news, judgments, and analysis.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="related-awesome-lists"&gt;Related Awesome Lists
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/maastrichtlawtech/awesome-legal-nlp" target="_blank" rel="noopener"
&gt;maastrichtlawtech/awesome-legal-nlp&lt;/a&gt; - Legal NLP papers, models, and datasets.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/topics/awesome-compliance" target="_blank" rel="noopener"
&gt;awesome-compliance&lt;/a&gt; - Compliance-related awesome lists.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/sindresorhus/awesome" target="_blank" rel="noopener"
&gt;sindresorhus/awesome&lt;/a&gt; - The original meta awesome list.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/openlegaldata/awesome-legal-data" target="_blank" rel="noopener"
&gt;openlegaldata/awesome-legal-data&lt;/a&gt; - Curated collection of legal text-processing datasets and resources.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/Jeryi-Sun/LLM-and-Law" target="_blank" rel="noopener"
&gt;Jeryi-Sun/LLM-and-Law&lt;/a&gt; - Continually-updated paper list on LLMs applied to law.&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>GitHub Repo Deep-Learning-Based-Image-Compression</title><link>https://blog.zwzhang.com/en/p/github-repo-deep-learning-based-image-compression/</link><pubDate>Mon, 23 Mar 2026 13:34:25 -0800</pubDate><guid>https://blog.zwzhang.com/en/p/github-repo-deep-learning-based-image-compression/</guid><description>&lt;h1 id="awesome-public-datasets"&gt;Awesome Public Datasets
&lt;/h1&gt;&lt;h2 id="introduction"&gt;Introduction
&lt;/h2&gt;&lt;p&gt;&lt;a class="link" href="https://github.com/ppingzhang/Deep-Learning-Based-Image-Compression" target="_blank" rel="noopener"
&gt;The paper list about deep learning based image compression&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="paper-list"&gt;Paper List
&lt;/h2&gt;&lt;h3 id="generative-compression"&gt;Generative compression
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/07338.pdf" target="_blank" rel="noopener"
&gt;Rate-Distortion-Cognition Controllable Versatile Neural Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/07844.pdf" target="_blank" rel="noopener"
&gt;Lossy Image Compression with Foundation Diffusion Models&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/05155.pdf" target="_blank" rel="noopener"
&gt;EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2507.04947" target="_blank" rel="noopener"
&gt;DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2506.21977" target="_blank" rel="noopener"
&gt;StableCodec: Taming One-Step Diffusion for Extreme Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://iccv.thecvf.com/virtual/2025/poster/577" target="_blank" rel="noopener"
&gt;DLF: Extreme Image Compression with Dual-generative Latent Fusion&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://iccv.thecvf.com/virtual/2025/poster/2681" target="_blank" rel="noopener"
&gt;Cross-Granularity Online Optimization with Masked Compensated Information for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2025/papers/Xu_Decouple_Distortion_from_Perception_Region_Adaptive_Diffusion_for_Extreme-low_Bitrate_CVPR_2025_paper.pdf" target="_blank" rel="noopener"
&gt;Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/forum?id=xiVuqZZ59O" target="_blank" rel="noopener"
&gt;Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICML 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=qi7udwV66M" target="_blank" rel="noopener"
&gt;Zero-Shot Image Compression with Diffusion-Based Posterior Sampling&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/forum?id=z0hUsPhwUN" target="_blank" rel="noopener"
&gt;Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICLR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ojs.aaai.org/index.php/AAAI/article/view/33403" target="_blank" rel="noopener"
&gt;Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;AAAI 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ojs.aaai.org/index.php/AAAI/article/view/33175" target="_blank" rel="noopener"
&gt;GLIC: General Format Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;AAAI 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.10185v3" target="_blank" rel="noopener"
&gt;Efficient Progressive Image Compression with Variance-aware Masking&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="None" &gt;UniMIC: Towards Universal Multi-modality Perceptual Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.10935v2" target="_blank" rel="noopener"
&gt;Progressive Compression with Universally Quantized Diffusion Models&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.11379v1" target="_blank" rel="noopener"
&gt;Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;AAAI 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.19651" target="_blank" rel="noopener"
&gt;ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.12982v1" target="_blank" rel="noopener"
&gt;Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2407.12538v1" target="_blank" rel="noopener"
&gt;Linearly transformed color guide for low-bitrate diffusion based image compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.08459" target="_blank" rel="noopener"
&gt;JPEG-LM: LLMs as Image Generators with Canonical Codec Representations&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566414&amp;amp;casa_token=4U0sgUNsxyQAAAAA:0ayUIqrQmKrwfM8v1sE67ZZaS48OiReJjRZdRqHyTlnCHI4zm_PSEqwM4QsvNI7qccQzSXg" target="_blank" rel="noopener"
&gt;Image Encryption and Compression Based on Reversed Diffusion Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;PCS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2406.00758" target="_blank" rel="noopener"
&gt;Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10570244&amp;amp;casa_token=xkZkXmlgP3wAAAAA:DYmBBrPQf2IwWoUAF70Te7XtdfSg85ud771PVI_vkfwCbjPUTB1cGuM3k_levF40o4NmV-s" target="_blank" rel="noopener"
&gt;Machine Perception-Driven Facial Image Compression: A Layered Generative Approach&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.07723" target="_blank" rel="noopener"
&gt;Understanding is Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.17060" target="_blank" rel="noopener"
&gt;High Efficiency Image Compression for Large Visual-Language Models&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=nSUMQhITdd" target="_blank" rel="noopener"
&gt;Consistency Guided Diffusion Model with Neural Syntax for Perceptual Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ACM MM 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.09896" target="_blank" rel="noopener"
&gt;Zero-Shot Image Compression with Diffusion-Based Posterior Sampling&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.12538" target="_blank" rel="noopener"
&gt;High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.12295" target="_blank" rel="noopener"
&gt;Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2406.03961" target="_blank" rel="noopener"
&gt;LDM-RSIC: Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2024/papers/Jia_Generative_Latent_Coding_for_Ultra-Low_Bitrate_Image_Compression_CVPR_2024_paper.pdf" target="_blank" rel="noopener"
&gt;Generative Latent Coding for Ultra-Low Bitrate Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2406.00758" target="_blank" rel="noopener"
&gt;Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/abs/2406.09356" target="_blank" rel="noopener"
&gt;CMC-Bench: Towards a New Paradigm of Visual Signal Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="lossless-compression"&gt;Lossless Compression
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2025/papers/Zhang_Fitted_Neural_Lossless_Image_Compression_CVPR_2025_paper.pdf" target="_blank" rel="noopener"
&gt;Fitted Neural Lossless Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2411.12448" target="_blank" rel="noopener"
&gt;Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;NeurIPS 2026&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2509.07704" target="_blank" rel="noopener"
&gt;SEEC: Segmentation-Assisted Multi-Entropy Models for Learned Lossless Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/abs/2412.17464" target="_blank" rel="noopener"
&gt;CALLIC: Content Adaptive Learning for Lossless Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;AAAI 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2410.17814" target="_blank" rel="noopener"
&gt;Learning Lossless Compression for High Bit-Depth Volumetric Medical Image&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10647302&amp;amp;casa_token=xbYddfRSqMoAAAAA:19cLT7kxdjVYv0j84IsNlUYujos72wpW_2phbqj45fjq-mNwLktHwGzZwENu4faVl1nvkhA" target="_blank" rel="noopener"
&gt;Rate-Complexity Optimization in Lossless Neural-Based Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.00369v1" target="_blank" rel="noopener"
&gt;Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.sciencedirect.com/science/article/abs/pii/S0031320324003832" target="_blank" rel="noopener"
&gt;Hybrid-context-based multi-prior entropy modeling for learned lossless image compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;Pattern Recognition 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_Learned_Lossless_Image_Compression_based_on_Bit_Plane_Slicing_CVPR_2024_paper.pdf" target="_blank" rel="noopener"
&gt;Learned Lossless Image Compression based on Bit Plane Slicing&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;Pattern Recognition 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="variable-rate--scalable-compression"&gt;Variable Rate / Scalable Compression
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=1groaXTrKo" target="_blank" rel="noopener"
&gt;Towards Scalable Compression with Universally Quantized Diffusion Models&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;NeurIPSW 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://neurips.cc/virtual/2024/98246" target="_blank" rel="noopener"
&gt;Flexible image decoding in learned image compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;NeurIPSW 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/1907.07875v1" target="_blank" rel="noopener"
&gt;Variable-size Symmetry-based Graph Fourier Transforms for image compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2207.04324v2" target="_blank" rel="noopener"
&gt;Latent Variables Coding for Perceptual Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ACM MM 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2410.00557" target="_blank" rel="noopener"
&gt;STanH: Parametric Quantization for Variable Rate Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2405.14222" target="_blank" rel="noopener"
&gt;RAQ-VAE: Rate-Adaptive Vector-Quantized Variational Autoencoder&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;Arxiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="quantization"&gt;Quantization
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2025/papers/Relic_Bridging_the_Gap_between_Gaussian_Diffusion_Models_and_Universal_Quantization_CVPR_2025_paper.pdf" target="_blank" rel="noopener"
&gt;Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=wqN6rWwYsr" target="_blank" rel="noopener"
&gt;Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;NeurIPSW 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.16119v1" target="_blank" rel="noopener"
&gt;Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=10689618" target="_blank" rel="noopener"
&gt;Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TNNLS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2409.09488v1" target="_blank" rel="noopener"
&gt;Lossy Image Compression with Stochastic Quantization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.arxiv.org/pdf/2408.12691" target="_blank" rel="noopener"
&gt;Quantization-free Lossy Image Compression Using Integer Matrix Factorization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.12150" target="_blank" rel="noopener"
&gt;DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566339&amp;amp;casa_token=6MnXai1ergEAAAAA:98ttJhOF_UU12y_KPlwG0kWpI35xBScxcKz4gIbyAdOow-5pe4hasuqIPeC7nBrnavlgr7Y" target="_blank" rel="noopener"
&gt;A Quantization Loss Compensation Network for Remote Sensing Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;PCS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2406.07548" target="_blank" rel="noopener"
&gt;Image and Video Tokenization with Binary Spherical Quantization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10531761" target="_blank" rel="noopener"
&gt;NLIC: Non-uniform Quantization based Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="entropy-model"&gt;Entropy Model
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/abs/2507.19125" target="_blank" rel="noopener"
&gt;Learned Image Compression with Hierarchical Progressive Context Modeling&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/forum?id=bsnRUkVn63" target="_blank" rel="noopener"
&gt;Test-time Adaptation for Image Compression with Distribution Regularization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICLR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2509.05169" target="_blank" rel="noopener"
&gt;Exploring Autoregressive Vision Foundation Models for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=J28aP5HsRJ" target="_blank" rel="noopener"
&gt;Learned Image Compression Framework with Quad-Prior Entropy Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2509.18815" target="_blank" rel="noopener"
&gt;FlashGMM: Fast Gaussian Mixture Entropy Model for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.19320v1" target="_blank" rel="noopener"
&gt;Generalized Gaussian Model for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2501.12330v1" target="_blank" rel="noopener"
&gt;The Gap Between Principle and Practice of Lossy Image Coding&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2405.09152v5" target="_blank" rel="noopener"
&gt;Group Image Compression for Dual Use of Machine and Human Vision&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.05832v1" target="_blank" rel="noopener"
&gt;Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2410.07669" target="_blank" rel="noopener"
&gt;Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2410.04847" target="_blank" rel="noopener"
&gt;Causal Context Adjustment Loss for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;NeurIPS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=YTNN0mOPQN" target="_blank" rel="noopener"
&gt;Spatial-Temporal Context Model for Remote Sensing Imagery Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ACM MM 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.09983" target="_blank" rel="noopener"
&gt;WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.11590" target="_blank" rel="noopener"
&gt;Rethinking Learned Image Compression: Context is All You Need&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.10632" target="_blank" rel="noopener"
&gt;Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="achitecture"&gt;Achitecture
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06635.pdf" target="_blank" rel="noopener"
&gt;WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06270.pdf" target="_blank" rel="noopener"
&gt;Region-Adaptive Transform with Segmentation Prior for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/03640.pdf" target="_blank" rel="noopener"
&gt;BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2509.10366" target="_blank" rel="noopener"
&gt;Efficient Learned Image Compression Through Knowledge Distillation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://iccv.thecvf.com/virtual/2025/poster/2181" target="_blank" rel="noopener"
&gt;Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2025/papers/Xu_PICD_Versatile_Perceptual_Image_Compression_with_Diffusion_Rendering_CVPR_2025_paper.pdf" target="_blank" rel="noopener"
&gt;PICD: Versatile Perceptual Image Compression with Diffusion Rendering&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2025/papers/Zeng_MambaIC_State_Space_Models_for_High-Performance_Learned_Image_Compression_CVPR_2025_paper.pdf" target="_blank" rel="noopener"
&gt;MambaIC: State Space Models for High-Performance Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=gIrVoQEDQv" target="_blank" rel="noopener"
&gt;Unraveling Neural Cellular Automata for Lightweight Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=Tv36j85SqR" target="_blank" rel="noopener"
&gt;Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICLR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.18494v1" target="_blank" rel="noopener"
&gt;Learning Optimal Linear Block Transform by Rate Distortion Minimization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.15752v1" target="_blank" rel="noopener"
&gt;Sparse Point Clouds Assisted Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2501.13751v1" target="_blank" rel="noopener"
&gt;On Disentangled Training for Nonlinear Transform in Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2410.12191" target="_blank" rel="noopener"
&gt;Test-time adaptation for image compression with distribution regularization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2409.18730" target="_blank" rel="noopener"
&gt;Effectiveness of learning-based image codecs on fingerprint storage&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/abs/2410.02981" target="_blank" rel="noopener"
&gt;Gabic: Graph-Based Attention Block for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2409.17134" target="_blank" rel="noopener"
&gt;Streaming Neural Images&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.arxiv.org/pdf/2408.03842" target="_blank" rel="noopener"
&gt;Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10743248&amp;amp;casa_token=uVcLjjVsiIAAAAAA:umWqK3-lWEAaYZLS6bGRwU83D_HltSVBFOPPF547AAOr-fKWKk4cWWscip13hDKI1ZYlPoc" target="_blank" rel="noopener"
&gt;Extreme Low Bitrate Image Compression System for Mobile Deployment&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;MMSP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2409.14090" target="_blank" rel="noopener"
&gt;Window-based Channel Attention for Wavelet-enhanced Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10647907&amp;amp;casa_token=_xL4m5ekrn0AAAAA:c7C1H9icT_KyIsjmgCz2uuikwvp8ukPivv5cDm_3V5nCspElz4BQXWWPxnrtmZmGv4pYddY" target="_blank" rel="noopener"
&gt;Feature Enhanced Learning Image Compression With Recurrent Criss-Cross Attention&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.17073" target="_blank" rel="noopener"
&gt;Approximately Invertible Neural Network for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.14127" target="_blank" rel="noopener"
&gt;Rate-Distortion-Perception Controllable Joint Source-Channel Coding for High-Fidelity Generative Communications&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;Arxiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10648236/authors#authors" target="_blank" rel="noopener"
&gt;Structured Pruning and Quantization for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566341&amp;amp;casa_token=5IwoTIplk3sAAAAA:qmSZUREE9iZFM3FtnOzIscEwUAonnBfKeBw8tRob7l35ZWuRRaxxcKx68NXw8vRraaBVmrU" target="_blank" rel="noopener"
&gt;Practical Learned Image Compression with Online Encoder Optimization&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;PCS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2406.10361" target="_blank" rel="noopener"
&gt;On Efficient Neural Network Architectures for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2406.13709" target="_blank" rel="noopener"
&gt;A Study on the Effect of Color Spaces in Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10558571&amp;amp;casa_token=7OHwnFHkwDUAAAAA:fZ9rVL-B_QI8BT4AWEJkS8-M07rg9VWUxSY3Z1MBlWqoNQtpc4l9wDjz4uchHFS2SPZErEI" target="_blank" rel="noopener"
&gt;Learning-Based Conditional Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ISCAS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10558635&amp;amp;casa_token=iR30sgfqXX0AAAAA:CygeYdTY8WGiAaUw68kNTiQAcmmiu1nSCbQ13daszhrMk4SO72ODDxLDgjAmHnlCXWRBwBs" target="_blank" rel="noopener"
&gt;Asymmetric Neural Image Compression with High-Preserving Information&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ISCAS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566428&amp;amp;casa_token=wYpGkb8wjkQAAAAA:xImfyLYnypOrxhvo6O4UHwHGsOVstRa_6jbBbmRMPdlJLMkBZsULXdcdHJ2wWnVIxkZkmsI" target="_blank" rel="noopener"
&gt;Wavelet-like Transform with Subbands Fusion in Decoupled Structure for Deep Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;PCS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10559830&amp;amp;casa_token=FWJQglVJO3MAAAAA:BTaIvWu6YnP42QFsGfQak48wjhoAfmxhLVSZjJX-kgjRJ-2dH3y3tteKQn8h5-U-YCZP-IE" target="_blank" rel="noopener"
&gt;FDNet: Frequency Decomposition Network for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.09853" target="_blank" rel="noopener"
&gt;Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.11700" target="_blank" rel="noopener"
&gt;Rate-Distortion-Cognition Controllable Versatile Neural Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2405.15413" target="_blank" rel="noopener"
&gt;MambaVC: Learned Visual Compression with Selective State Spaces&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="screen-content-image"&gt;Screen Content Image
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06526.pdf" target="_blank" rel="noopener"
&gt;Learned HDR Image Compression for Perceptually Optimal Storage and Display&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ijcai.org/proceedings/2024/0134.pdf" target="_blank" rel="noopener"
&gt;Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;IJCAI 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10577165&amp;amp;casa_token=ddUlyV468d4AAAAA:Ep5T9S4nD7zCZWS-ml46aRYuuKqAYMW518K3gLntWQ7GDCjuPpxRY5M7B7UtF42qZ_KiiuU&amp;amp;tag=1" target="_blank" rel="noopener"
&gt;DSCIC: Deep Screen Content Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="hdr-image"&gt;HDR Image
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2407.13179v1" target="_blank" rel="noopener"
&gt;Breaking Boundaries: Unifying Imaging and Compression for HDR Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TIP 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2407.13179" target="_blank" rel="noopener"
&gt;Learned HDR Image Compression for Perceptually Optimal Storage and Display&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="image-coding-for-machine-vision"&gt;Image coding for machine vision
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06823.pdf" target="_blank" rel="noopener"
&gt;Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/09009.pdf" target="_blank" rel="noopener"
&gt;A Unified Image Compression Method for Human Perception and Multiple Vision Tasks&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://dl.acm.org/doi/10.1145/3708347" target="_blank" rel="noopener"
&gt;Neural Image Compression with Regional Decoding&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ToMM 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2402.08862v1" target="_blank" rel="noopener"
&gt;Saliency Segmentation Oriented Deep Image Compression With Novel Bit Allocation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="None" &gt;LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2310.09382v1" target="_blank" rel="noopener"
&gt;Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2501.04329v1" target="_blank" rel="noopener"
&gt;An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2501.04579v1" target="_blank" rel="noopener"
&gt;Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2409.19660v1" target="_blank" rel="noopener"
&gt;All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.08575" target="_blank" rel="noopener"
&gt;Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.07028" target="_blank" rel="noopener"
&gt;Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="" &gt;Group Image Compression for Dual Use of Machine and Human Vision&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TCSVT 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2408.07028" target="_blank" rel="noopener"
&gt;Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;MMSP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10743309&amp;amp;casa_token=zKA0n7bsqFUAAAAA:HAwTji45HCcml__D27xCp29vhfB8Im2TXKbHm29ObXI80UW3kiaW4ckTorJJC7p1cZGUS5Y" target="_blank" rel="noopener"
&gt;Compression of Self-Supervised Representations for Machine Vision&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10647464&amp;amp;casa_token=____eHFo8BMAAAAA:U-jtu0xTn0RWA80FDfNvfith5yJz0sdvRTl5UhTQBhG_J874g9eNBXllfFgFRByMqDnY1zI&amp;amp;tag=1" target="_blank" rel="noopener"
&gt;Learned Image Compression for Both Humans and Machines via Dynamic Adaptation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10648033?casa_token=H_-iMbpng6oAAAAA:zbDs9boDRETBQINfnLEbkz31FcWDyoORoBTCrmmlqXzN86tKR6sqdmXIAA-uHmVH1agtBxsCZw" target="_blank" rel="noopener"
&gt;Image Coding For Machine Via Analytics-Driven Appearance Redundancy Reduction&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10574324&amp;amp;casa_token=3hjufBt4DOEAAAAA:ZVH9S11WP5wB3eRmfHs02WCpHHe4_7cHo1SWnMNBuwaCoOJgkxOWk3UXhyUBlAVpCW4fgy4" target="_blank" rel="noopener"
&gt;Saliency Map-Guided End-to-End Image Coding for Machines&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;SPL 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10557851&amp;amp;casa_token=Fu-eEJDIq1gAAAAA:ap6uExZfQWevfhbLwgq3NoH-Q3SR4UBhsSFF7tnnAMTTsZjDPpUz73J0dSMhwR0B0iwQgH8" target="_blank" rel="noopener"
&gt;Redundancy Removal Module for Reducing the Bitrates of Image Coding for Machines&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ISCAS 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="medical-image"&gt;Medical Image
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.09231v1" target="_blank" rel="noopener"
&gt;Versatile Volumetric Medical Image Coding for Human-Machine Vision&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2405.16850" target="_blank" rel="noopener"
&gt;UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;Arxiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="implicit-neural-representation"&gt;Implicit Neural Representation
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/forum?id=9u5hPIcr6j" target="_blank" rel="noopener"
&gt;LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICML 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2509.18748" target="_blank" rel="noopener"
&gt;HyperCool: Reducing Encoding Cost in Overfitted Codecs with Hypernetworks&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;Arxiv 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10647328" target="_blank" rel="noopener"
&gt;Redefining Visual Quality: The Impact of Loss Functions on INR-Based Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10647328?casa_token=4zOGbEd8ye4AAAAA:HK-ntiQYpO25P-fk_Dob31eeKFZOJ4CFqwOTT5ZaivzBkAUTfcXvoLWxHeaPhoH6K2_BtZHF-A" target="_blank" rel="noopener"
&gt;Implicit Neural Image Field for Biological Microscopy Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="panoramicstereo-image"&gt;Panoramic/stereo Image
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="eccv2024.ecva.net//virtual/2024/poster/1797" &gt;Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ECCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10721338/authors#authors" target="_blank" rel="noopener"
&gt;Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="benchmark--dataset--survey"&gt;Benchmark &amp;amp; Dataset &amp;amp; Survey
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/document/10807668/" target="_blank" rel="noopener"
&gt;JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;IEEE MultiMedia 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3664647.3685519" target="_blank" rel="noopener"
&gt;OpenDIC: An Open-Source Library and Performance Evaluation for Deep-learning-based Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ACMMM 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="others"&gt;Others
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Title&lt;/th&gt;
&lt;th style="text-align: center"&gt;Pub. &amp;amp; Date&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2507.17221" target="_blank" rel="noopener"
&gt;Dataset Distillation as Data Compression: A Rate-Utility Perspective&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2025/papers/Zhang_Balanced_Rate-Distortion_Optimization_in_Learned_Image_Compression_CVPR_2025_paper.pdf" target="_blank" rel="noopener"
&gt;Balanced Rate-Distortion Optimization in Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;CVPR 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/forum?id=olzs3zVsE7" target="_blank" rel="noopener"
&gt;Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICML 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=ialr09SfeJ" target="_blank" rel="noopener"
&gt;Synonymous Variational Inference for Perceptual Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICML 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ojs.aaai.org/index.php/AAAI/article/view/33111/35266" target="_blank" rel="noopener"
&gt;CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;AAAI 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.01646v1" target="_blank" rel="noopener"
&gt;Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.06810v1" target="_blank" rel="noopener"
&gt;JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.16727v2" target="_blank" rel="noopener"
&gt;An Information-Theoretic Regularizer for Lossy Neural Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICCV 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2411.10650v1" target="_blank" rel="noopener"
&gt;Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability, Throughput, and Latency&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://ieeexplore.ieee.org/document/10814661/" target="_blank" rel="noopener"
&gt;HNR-ISC: Hybrid Neural Representation for Image Set Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;TMM 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="http://arxiv.org/abs/2412.03261v1" target="_blank" rel="noopener"
&gt;Is JPEG AI going to change image forensics?&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://www.nowpublishers.com/article/OpenAccessDownload/SIP-20240025" target="_blank" rel="noopener"
&gt;2D Gaussian Splatting for Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ATSIP 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2410.20145" target="_blank" rel="noopener"
&gt;Cross-Platform Neural Video Coding: A Case Study&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;arXiv 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://openreview.net/pdf?id=zIrvyQdIG4" target="_blank" rel="noopener"
&gt;Gone With the Bits: Benchmarking Bias in Facial Phenotype Degradation Under Low-Rate Neural Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;ICMLW 2024&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://arxiv.org/pdf/2409.11111" target="_blank" rel="noopener"
&gt;Few-Shot Domain Adaptation for Learned Image Compression&lt;/a&gt;&lt;/td&gt;
&lt;td style="text-align: center"&gt;AAAI 2025&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id="2024"&gt;✔2024
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;(SPL 2024) &lt;strong&gt;OMR-NET: A Two-Stage Octave Multi-Scale Residual Network for Screen Content Image Compression&lt;/strong&gt; Jiang S, Ren T, Fu C, et al. &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10552293&amp;amp;casa_token=HZozj0vMXvkAAAAA:_7rf8zPrb-WjgI1-i9BoraOqIEMGQdTWcvj2NUfc-3GEtogq1VavMVzi2kKx8yF3hrNoAX6lfg&amp;amp;tag=1" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TPAMI 2024) &lt;strong&gt;I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression&lt;/strong&gt; Cai, Shilv and Chen, Liqun and Zhang, Zhijun and Zhao, Xiangyun and Zhou, Jiahuan and Peng, Yuxin and Yan, Luxin and Zhong, Sheng and Zou, Xu &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10411123" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2024) &lt;strong&gt;Leveraging Redundancy in Feature for Efficient Learned Image CompressionN&lt;/strong&gt; Qin, Peng and Bao, Youneng and Meng, Fanyang and Tan, Wen and Li, Chao and Wang, Genhong and Liang, Yongsheng &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10447424" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2024) &lt;strong&gt;RATE-QUALITY BASED RATE CONTROL MODEL FOR NEURAL VIDEO COMPRESSION&lt;/strong&gt; Liao, Shuhong and Jia, Chuanmin and Fan, Hongfei and Yan, Jingwen and Ma, Siwei &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=10447777" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2024) &lt;strong&gt;Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression&lt;/strong&gt; Zhi, Cao and Youneng, Bao and Fanyang, Meng and Chao, Li and Wen, Tan and Genhong, Wang and Yongsheng, Liang&lt;a class="link" href="https://arxiv.org/pdf/2403.06700v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(AAAI 2024) &lt;strong&gt;Make Lossy Compression Meaningful for Low-Light Images&lt;/strong&gt; Cai, Shilv and Chen, Liqun and Zhong, Sheng and Yan, Luxin and Zhou, Jiahuan and Zou, Xu &lt;a class="link" href="https://ojs.aaai.org/index.php/AAAI/article/download/28664/29289" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(AAAI 2024) &lt;strong&gt;End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy&lt;/strong&gt; Zheng, Huiming and Gao, Wei &lt;a class="link" href="https://ojs.aaai.org/index.php/AAAI/article/download/28588/29143" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2024) &lt;strong&gt;Towards Backward-Compatible Continual Learning of Image Compression&lt;/strong&gt; Duan, Zhihao and Lu, Ming and Yang, Justin and He, Jiangpeng and Ma, Zhan and Zhu, Fengqing &lt;a class="link" href="https://arxiv.org/pdf/2402.18862v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(NeurIPS 2024) &lt;strong&gt;Compression with bayesian implicit neural representations&lt;/strong&gt; Guo, Zongyu and Flamich, Gergely and He, Jiajun and Chen, Zhibo and Hern{'a}ndez-Lobato, Jos{'e} Miguel &lt;a class="link" href="https://arxiv.org/pdf/2305.19185.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2024) &lt;strong&gt;Bilateral Context Modeling for Residual Coding in Lossless 3D Medical Image Compression&lt;/strong&gt; Liu, Xiangrui and Wang, Meng and Wang, Shiqi and Kwong, Sam &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=10478821" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TMM 2024) &lt;strong&gt;Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication&lt;/strong&gt; Sheng, Xihua and Li, Li and Liu, Dong and Li, Houqiang &lt;a class="link" href="https://arxiv.org/pdf/2401.15864.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2024) &lt;strong&gt;FICNet: An End to End Network for Free-view Image Coding&lt;/strong&gt; Yang, Chunhui and Yang, Jiayu and Zhai, Yongqi and Wang, Ronggang&lt;a class="link" href="https://ieeexplore.ieee.org/document/10504389?denied=" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2024) &lt;strong&gt;GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression&lt;/strong&gt; Li, Daxin and Bai, Yuanchao and Wang, Kai and Jiang, Junjun and Liu, Xianming and Gao, Wen &lt;a class="link" href="https://arxiv.org/pdf/2405.01170" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2024) &lt;strong&gt;Multirate Progressive Entropy Model for Learned Image Compression&lt;/strong&gt; Li, Chao and Yin, Shanzhi and Jia, Chuanmin and Meng, Fanyang and Tian, Yonghong and Liang, Yongsheng &lt;a class="link" href="https://ieeexplore.ieee.org/document/10471618" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2024) &lt;strong&gt;EUICN: An Efficient Underwater Image Compression Network&lt;/strong&gt; Li, Mengyao and Shen, Liquan and Hua, Xia and Tian, Zhaoyi &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=10445326" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2024) &lt;strong&gt;Rate-Distortion Optimized Cross Modal Compression with Multiple Domains&lt;/strong&gt; Gao, Junlong and Jia, Chuanmin and Huang, Zhimeng and Wang, Shanshe and Ma, Siwei and Gao, Wen &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10430161" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ToMM 2024) &lt;strong&gt;Perceptual Quality-Oriented Rate Allocation via Distillation from End-to-End Image Compression&lt;/strong&gt; Yang, Runyu and Liu, Dong and Ma, Siwei and Wu, Feng and Gao, Wen &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3650034" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TGRS 2024) &lt;strong&gt;Remote Sensing Image Compression Based on High-Frequency and Low-Frequency Components&lt;/strong&gt; Xiang, Shao and Liang, Qiaokang &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10379598&amp;amp;casa_token=8o7Rvla9bkIAAAAA:BdM70h2rnznpm8AjLpmF2OaaY4LOyj96msdVfnJyaYeQ-EVVWgoAz8YSFYoxbq2tG6L95AQr" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(WCACV 2024) &lt;strong&gt;Neural Image Compression Using Masked Sparse Visual Representation&lt;/strong&gt; Jiang, Wei and Wang, Wei and Chen, Yue &lt;a class="link" href="https://arxiv.org/pdf/2309.11661.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(PCS 2024) &lt;strong&gt;CoCliCo: Extremely low bitrate image compression based on CLIP semantic and tiny color map&lt;/strong&gt; Bachard, Tom and Bordin, Tom and Maugey, Thomas &lt;a class="link" href="https://inria.hal.science/hal-04478601/file/PCS_2024-2-1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(IEVC 2024) &lt;strong&gt;The Effect of Edge Information in Stable Diffusion Applied to Image Coding&lt;/strong&gt; Watanabe, Hiroshi and Chujoh, Takeshi and Fan, Zheming and Jin, Luoxu and Yasugi, Yukinobu and Ikai, Tomohiro and Hayami, Taiga and Hong, Sujun &lt;a class="link" href="https://www.ams.giti.waseda.ac.jp/data/pdf-files/2024IEVC_LBP-15.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(SPL 2024) &lt;strong&gt;Enhancing High-Resolution Image Compression Through Local-Global Joint Attention Mechanism&lt;/strong&gt;Jiang, Zeyu and Liu, Xiaohong and Li, Aini and Wang, Guangyu&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10487886" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(SPL 2024) &lt;strong&gt;Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained Loss&lt;/strong&gt;Guerin, Nilson D and da Silva, Renam Castro and Macchiavello, Bruno&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10487041?casa_token=knUB41_TmBsAAAAA:a-OvI58YlhHCqICs5ondcAnowi-IGX2nx0TgWqjjp_VfILwGajk6aEbDfqpUAqvF6--XxzsqGQ" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2024) &lt;strong&gt;Fine color guidance in diffusion models and its application to image compression at extremely low bitrates&lt;/strong&gt;Bordin, Tom and Maugey, Thomas&lt;a class="link" href="https://ieeexplore.ieee.org/document/10445837" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks&lt;/strong&gt;Wu, Chenhao and Wu, Qingbo and Wei, Haoran and Chen, Shuai and Wang, Lei and Ngan, King Ngi and Meng, Fanman and Li, Hongliang&lt;a class="link" href="https://arxiv.org/pdf/2405.07717" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Scalable Image Coding for Humans and Machines Using Feature Fusion Network&lt;/strong&gt;Li, Junhui and Hou, Xingsong&lt;a class="link" href="https://arxiv.org/pdf/2405.09152" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Towards Task-Compatible Compressible Representations&lt;/strong&gt; de Andrade, Anderson and Baji{'c}, Ivan&lt;a class="link" href="https://arxiv.org/pdf/2405.10244" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network&lt;/strong&gt; Li, Junhui and Hou, Xingsong&lt;a class="link" href="https://arxiv.org/pdf/2405.10518" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;NLIC: Non-uniform Quantization based Learned Image Compression&lt;/strong&gt; Ge, Ziqing and Ma, Siwei and Gao, Wen and Pan, Jingshan and Jia, Chuanmin&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10531761" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Domain Adaptation for Learned Image Compression with Supervised Adapters&lt;/strong&gt;Presta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco&lt;a class="link" href="https://arxiv.org/pdf/2404.15591" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;2D Gaussian Splatting for Image Compression&lt;/strong&gt;Pingping Zhang, Xiangrui Liu, Meng Wang, Shiqi Wang, Sam Kwong&lt;a class="link" href="https://github.com/ppingzhang/2DGS_ImageCompression/blob/main/2DGS_APSIPA.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Domain Adaptation for Learned Image Compression with Supervised Adapters&lt;/strong&gt;Presta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco&lt;a class="link" href="https://arxiv.org/pdf/2404.15591" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior&lt;/strong&gt;Li, Zhiyuan and Zhou, Yanhui and Wei, Hao and Ge, Chenyang and Jiang, Jingwen&lt;a class="link" href="https://arxiv.org/pdf/2404.18820" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context&lt;/strong&gt;Wang, Yongqiang and Liang, Feng and Liang, Jie and Fu, Haisheng&lt;a class="link" href="https://arxiv.org/pdf/2403.14471.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Lossy Image Compression with Foundation Diffusion Models&lt;/strong&gt;WRelic, Lucas and Azevedo, Roberto and Gross, Markus and Schroers, Christopher&lt;a class="link" href="https://arxiv.org/pdf/2404.08580.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder&lt;/strong&gt;Ma, Yiyang and Yang, Wenhan and Liu, Jiaying&lt;a class="link" href="https://arxiv.org/html/2404.04916v1" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Fine color guidance in diffusion models and its application to image compression at extremely low bitrates&lt;/strong&gt;Bordin, Tom and Maugey, Thomas&lt;a class="link" href="https://arxiv.org/pdf/2404.06865.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Human-Machine Collaborative Image Compression Method Based on Implicit Neural Representations&lt;/strong&gt;Li, Huanyang and Zhang, Xinfeng&lt;a class="link" href="https://arxiv.org/pdf/2112.04267.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;CGenerative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual&lt;/strong&gt;Kong, Yuzhuo and Lu, Ming and Ma, Zhan&lt;a class="link" href="https://ieeexplore.ieee.org/document/10493033?denied=" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Image and Video Compression using Generative Sparse Representation with Fidelity Controls&lt;/strong&gt;Jiang, Wei and Wang, Wei&lt;a class="link" href="https://arxiv.org/pdf/2404.06076.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Content-aware Masked Image Modeling Transformer for Stereo Image Compression&lt;/strong&gt;Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Jun&lt;a class="link" href="https://arxiv.org/pdf/2403.08505v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization&lt;/strong&gt;Luo, Jixiang and Wang, Yan and Qin, Hongwei&lt;a class="link" href="https://arxiv.org/pdf/2403.13030.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs&lt;/strong&gt;Zhang, Yichi and Duan, Zhihao and Huang, Yuning and Zhu, Fengqing&lt;a class="link" href="https://arxiv.org/pdf/2403.18535v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer&lt;/strong&gt;Xue, Naifu and Mao, Qi and Wang, Zijian and Zhang, Yuan and Ma, Siwei&lt;a class="link" href="https://arxiv.org/pdf/2403.03736.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders&lt;/strong&gt;Mari, Daniele and Milani, Simone&lt;a class="link" href="https://arxiv.org/pdf/2403.02887v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Channel-wise Feature Decorrelation for Enhanced Learned Image Compression&lt;/strong&gt;Pakdaman, Farhad and Gabbouj, Moncef&lt;a class="link" href="https://arxiv.org/pdf/2403.10936.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Overfitted image coding at reduced complexity&lt;/strong&gt;Blard, Th{'e}ophile and Ladune, Th{'e}o and Philippe, Pierrick and Clare, Gordon and Jiang, Xiaoran and D{'e}forges, Olivier&lt;a class="link" href="https://arxiv.org/pdf/2403.11651v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity&lt;/strong&gt; Lee, Hagyeong and Kim, Minkyu and Kim, Jun-Hyuk and Kim, Seungeon and Oh, Dokwan and Lee, Jaeho&lt;a class="link" href="https://arxiv.org/pdf/2403.02944.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Transformer-based Learned Image Compression for Joint Decoding and Denoising&lt;/strong&gt; Chen, Yi-Hsin and Ho, Kuan-Wei and Tsai, Shiau-Rung and Lin, Guan-Hsun and Gnutti, Alessandro and Peng, Wen-Hsiao and Leonardi, Riccardo&lt;a class="link" href="https://arxiv.org/pdf/2402.12888v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Channel-wise Feature Decorrelation for Enhanced Learned Image Compression&lt;/strong&gt; Pakdaman, Farhad and Gabbouj, Moncef&lt;a class="link" href="https://arxiv.org/ftp/arxiv/papers/2403/2403.10936.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization&lt;/strong&gt; Luo, Jixiang and Wang, Yan and Qin, Hongwei&lt;a class="link" href="https://arxiv.org/pdf/2403.13030.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context&lt;/strong&gt; Wang, Yongqiang and Liang, Feng and Liang, Jie and Fu, Haisheng&lt;a class="link" href="https://arxiv.org/pdf/2403.14471.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Content-aware Masked Image Modeling Transformer for Stereo Image Compression&lt;/strong&gt; Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Jun&lt;a class="link" href="https://arxiv.org/pdf/2403.08505v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Probing Image Compression For Class-Incremental Learning&lt;/strong&gt; Yang, Justin and Duan, Zhihao and Peng, Andrew and Huang, Yuning and He, Jiangpeng and Zhu, Fengqing&lt;a class="link" href="https://arxiv.org/pdf/2403.06288.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets&lt;/strong&gt; Kamisli, Fatih and Racape, Fabien and Choi, Hyomin &lt;a class="link" href="https://arxiv.org/pdf/2402.18930v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Channel-wise Feature Decorrelation for Enhanced Learned Image Compression&lt;/strong&gt; Pakdaman, Farhad and Gabbouj, Moncef &lt;a class="link" href="https://arxiv.org/ftp/arxiv/papers/2403/2403.10936.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression&lt;/strong&gt; Li, Xinyue and Naman, Aous and Taubman, David &lt;a class="link" href="https://arxiv.org/pdf/2402.18761v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Powerful Lossy Compression for Noisy Images&lt;/strong&gt; Cai, Shilv and Liang, Xiaoguo and Cao, Shuning and Yan, Luxin and Zhong, Sheng and Chen, Liqun and Zou, Xu &lt;a class="link" href="https://arxiv.org/pdf/2403.14135v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression&lt;/strong&gt; Zhi, Cao and Youneng, Bao and Fanyang, Meng and Chao, Li and Wen, Tan and Genhong, Wang and Yongsheng, Liang &lt;a class="link" href="https://arxiv.org/pdf/2403.06700v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Image Coding for Machines with Edge Information Learning Using Segment Anything&lt;/strong&gt; Shindo, Takahiro and Yamada, Kein and Watanabe, Taiju and Watanabe, Hiroshi &lt;a class="link" href="https://arxiv.org/pdf/2403.04173v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Resilience of Entropy Model in Distributed Neural Networks&lt;/strong&gt; Zhang, Milin and Abdi, Mohammad and Rifat, Shahriar and Restuccia, Francesco&lt;a class="link" href="https://arxiv.org/pdf/2403.00942v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer&lt;/strong&gt; Xue, Naifu and Mao, Qi and Wang, Zijian and Zhang, Yuan and Ma, Siwei&lt;a class="link" href="https://arxiv.org/pdf/2403.03736.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Content-aware Masked Image Modeling Transformer for Stereo Image Compression&lt;/strong&gt; Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Jun&lt;a class="link" href="https://arxiv.org/pdf/2403.08505v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting&lt;/strong&gt; Zhang, Xinjie and Ge, Xingtong and Xu, Tongda and He, Dailan and Wang, Yan and Qin, Hongwei and Lu, Guo and Geng, Jing and Zhang, Jun&lt;a class="link" href="https://arxiv.org/pdf/2403.08551v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding&lt;/strong&gt; Dong, Cunhui and Ma, Haichuan and Zhang, Haotian and Gao, Changsheng and Li, Li and Liu, Dong&lt;a class="link" href="https://arxiv.org/pdf/2403.05937v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Region-Adaptive Transform with Segmentation Prior for Image Compression&lt;/strong&gt; Liu, Yuxi and Yang, Wenhan and Bai, Huihui and Wei, Yunchao and Zhao, Yao&lt;a class="link" href="https://arxiv.org/pdf/2403.00628.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;LEARNED IMAGE COMPRESSION WITH TEXT QUALITY ENHANCEMENT&lt;/strong&gt; Lai, Chih-Yu and Tran, Dung and Koishida, Kazuhito&lt;a class="link" href="https://arxiv.org/pdf/2402.08643.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets&lt;/strong&gt; Kamisli, Fatih and Racape, Fabien and Choi, Hyomin&lt;a class="link" href="https://arxiv.org/pdf/2402.18930v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;End-to-End Optimized Image Compression with the Frequency-Oriented Transform&lt;/strong&gt; Zhang, Yuefeng and Lin, Kai &lt;a class="link" href="https://arxiv.org/pdf/2401.08194.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Learned Image Compression with ROI-Weighted Distortion and Bit Allocation&lt;/strong&gt; Jiang, Wei and Zhai, Yongqi and Li, Hangyu and Wang, Ronggang &lt;a class="link" href="https://arxiv.org/pdf/2401.08154.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression&lt;/strong&gt; Li, Daxin and Bai, Yuanchao and Wang, Kai and Jiang, Junjun and Liu, Xianming &lt;a class="link" href="https://arxiv.org/pdf/2401.14007.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;FLLIC: Functionally Lossless Image Compression&lt;/strong&gt; Zhang, Xi and Wu, Xiaolin &lt;a class="link" href="https://arxiv.org/pdf/2401.13616.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Fast Implicit Neural Representation Image Codec in Resource-limited Devices&lt;/strong&gt; Liu, Xiang and Chen, Jiahong and Chen, Bin and Liu, Zimo and An, Baoyi and Xia, Shu-Tao &lt;a class="link" href="https://arxiv.org/pdf/2401.12587.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(NeurPIS 2024) &lt;strong&gt;Robustly overfitting latents for flexible neural image compression&lt;/strong&gt; Perugachi-Diaz, Yura and Gansekoele, Arwin and Bhulai, Sandjai &lt;a class="link" href="https://arxiv.org/pdf/2401.17789.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Saliency-aware End-to-end Learned Variable-Bitrate 360-degree Image Compression&lt;/strong&gt; Gungordu, Oguzhan and Tekalp, A Murat &lt;a class="link" href="https://arxiv.org/pdf/2402.08862.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs&lt;/strong&gt; Xie, Yuxin and Yu, Li and Pakdaman, Farhad and Gabbouj, Moncef&lt;a class="link" href="https://arxiv.org/pdf/2402.05582.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;LEARNED COMPRESSION OF ENCODING DISTRIBUTIONS&lt;/strong&gt; Ulhaq, Mateen and Bajic, Ivan V&lt;a class="link" href="https://www.sfu.ca/~mulhaq/assets/pdf/2024-icip-learned-compression-of-encoding-distributions.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2024) &lt;strong&gt;Transformer-based Learned Image Compression for Joint Decoding and Denoising&lt;/strong&gt; Chen, Yi-Hsin and Ho, Kuan-Wei and Tsai, Shiau-Rung and Lin, Guan-Hsun and Gnutti, Alessandro and Peng, Wen-Hsiao and Leonardi, Riccardo&lt;a class="link" href="https://arxiv.org/pdf/2402.12888v1.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2024) &lt;strong&gt;Flexible Coding Order for Learned Image Compression&lt;/strong&gt; Li, Yuqi and Zhang, Haotian and Liu, Dong &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10402631" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2024) &lt;strong&gt;Variable-rate Learned Image Compression with Adaptive Quantization Step Size&lt;/strong&gt; Mei, Feihong and Li, Li and Liu, Dong &lt;a class="link" href="https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&amp;amp;arnumber=10402767&amp;amp;ref=" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2024) &lt;strong&gt;Learned Progressive Image Compression With Spatial Autoregression&lt;/strong&gt; Li, Hangyu and Jiang, Wei and Li, Litian and Zhai, Yongqi and Wang, Ronggang &lt;a class="link" href="https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&amp;amp;arnumber=10402651&amp;amp;ref=" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2024) &lt;strong&gt;Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner&lt;/strong&gt; Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu, Cewu and Hu, Weisheng and Zhang, Lin and Du, Junfeng and Xiong, Hongkai &lt;a class="link" href="https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&amp;amp;arnumber=10402791&amp;amp;ref=" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2024) &lt;strong&gt;Learned Progressive Image Compression With Spatial Autoregression&lt;/strong&gt; Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu, Cewu and Hu, Weisheng and Zhang, Lin and Du, Junfeng and Xiong, Hongkai &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=10402767" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="2023"&gt;✔2023
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;(NeurIPS 2023) &lt;strong&gt;Towards efficient image compression without autoregressive models&lt;/strong&gt; Ali, Muhammad Salman and Kim, Yeongwoong and Qamar, Maryam and Lim, Sung-Chang and Kim, Donghyun and Zhang, Chaoning and Bae, Sung-Ho and Kim, Hui Yong &lt;a class="link" href="https://openreview.net/pdf?id=1ihGy9vAIg" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(NeurIPS 2023) &lt;strong&gt;LUT-LIC: Look-Up Table-Assisted Learned Image Compression&lt;/strong&gt; Yu, SeungEun and Lee, Jong-Seok&lt;a class="link" href="https://link.springer.com/chapter/10.1007/978-981-99-8148-9_34" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2023) &lt;strong&gt;Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach&lt;/strong&gt; Guo, Sha and Chen, Zhuo and Zhao, Yang and Zhang, Ning and Li, Xiaotong and Duan, Lingyu &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3581783.3611851?casa_token=mNmCMwSt2NcAAAAA:pYJtS3-8nkQdv-d0hp5N3OptJqtnjFcfBNOohVR0SqCbdP9mF4tFuAZEN5_WiTkVaxttfYUdfyqJHw" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2023) &lt;strong&gt;Nif: A fast implicit image compression with bottleneck layers and modulated sinusoidal activations&lt;/strong&gt; Catania, Lorenzo and Allegra, Dario &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3581783.3613834" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2023) &lt;strong&gt;Lambda-Domain Rate Control for Neural Image Compression&lt;/strong&gt; Xue, Naifu and Zhang, Yuan &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3595916.3626372?casa_token=ZQoUWGi2J6UAAAAA:3NWoCPBC-hhmWmMgcu3uPf_UFg0eSN3fLoeBi_8S0GKRJaW78mnXjkxBesKBwfe30nzHI0PEXGfAVQ" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2023) &lt;strong&gt;MLIC: Multi-Reference Entropy Model for Learned Image Compression&lt;/strong&gt; Jiang, Wei and Yang, Jiayu and Zhai, Yongqi and Ning, Peirong and Gao, Feng and Wang, Ronggang &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3581783.3611694" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2023) &lt;strong&gt;ELFIC: A Learning-based Flexible Image Codec with Rate-Distortion-Complexity Optimization&lt;/strong&gt; Zhang, Zhichen and Chen, Bolin and Lin, Hongbin and Lin, Jielian and Wang, Xu and Zhao, Tiesong &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3581783.3612540" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2023) &lt;strong&gt;ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision&lt;/strong&gt; Liu, Lei and Hu, Zhihao and Chen, Zhenghao and Xu, Dong &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3581783.3612041?casa_token=S1tEOBghRlUAAAAA:3QJByYZssGAMLB6Yloy9eCwEEkI7RrZQ_kuaJfIjBCaWH45RJomJC4uQN1StEi_UplaboXcyaEASvA" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2023) &lt;strong&gt;Learned Image Compression Using Cross-Component Attention Mechanism&lt;/strong&gt; Duan, Wenhong and Chang, Zheng and Jia, Chuanmin and Wang, Shanshe and Ma, Siwei and Song, Li and Gao, Wen &lt;a class="link" href="https://ieeexplore.ieee.org/document/10268865/" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2023) &lt;strong&gt;Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision&lt;/strong&gt; Mao, Qi and Wang, Chongyu and Wang, Meng and Wang, Shiqi and Chen, Ruijie and Jin, Libiao and Ma, Siwei &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10372532&amp;amp;casa_token=tefNsn9cqyIAAAAA:iNI1vVcH9m8rW3GLAj-yB_6FC_eiNBGUUiIzVaAlYC7JHRxGElmSd1MdVYHKD0P-9FtPMq5aEw" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2023) &lt;strong&gt;Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression&lt;/strong&gt; Shen, Sheng and Yue, Huanjing and Yang, Jingyu &lt;a class="link" href="https://openaccess.thecvf.com/content/ICCV2023/papers/Shen_Dec-Adapter_Exploring_Efficient_Decoder-Side_Adapter_for_Bridging_Screen_Content_and_ICCV_2023_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2023) &lt;strong&gt;Context-Based Trit-Plane Coding for Progressive Image Compression&lt;/strong&gt; Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su &lt;a class="link" href="https://arxiv.org/pdf/2303.05715.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2023) &lt;strong&gt;Transtic: Transferring transformer-based image compression from human perception to machine perception&lt;/strong&gt; Chen, Yi-Hsin and Weng, Ying-Chieh and Kao, Chia-Hao and Chien, Cheng and Chiu, Wei-Chen and Peng, Wen-Hsiao &lt;a class="link" href="https://openaccess.thecvf.com/content/ICCV2023/papers/Chen_TransTIC_Transferring_Transformer-based_Image_Compression_from_Human_Perception_to_Machine_ICCV_2023_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TAI 2023) &lt;strong&gt;Manipulation Attacks on Learned Image Compression&lt;/strong&gt; Liu, Kang and Wu, Di and Wu, Yangyu and Wang, Yiru and Feng, Dan and Tan, Benjamin and Garg, Siddharth&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10352982&amp;amp;casa_token=7J9wZTEfvZUAAAAA:A4rT0GYrKkWQ8h1hhnQxyazt_2kunYTDE1vn73nQD5RDms-6eoJ_ZUppgHNr3WTBk143oCWW6Q" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression&lt;/strong&gt; Hu, Yuting and Tan, Wen and Meng, Fanyang and Liang, Yongsheng&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222366" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;NUCQ: Non-Uniform Conditional Quantization for Learned Image Compression&lt;/strong&gt; Ge, Ziqing and Jia, Chuanmin and Ma, Siwei and Gao, We&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222198" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;End-to-End Learning-based Image Compression with A Decoupled Framework&lt;/strong&gt; Zhang, Zhaobin and Esenlik, Semih and Wu, Yaojun and Wang, Meng and Zhang, Kai and Zhang, Li&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10247017/metrics#metrics" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression&lt;/strong&gt; Minnen, David and Johnston, Nick&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222381" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Efficient Pruning Method for Learned Lossy Image Compression Models Based on Side Information&lt;/strong&gt; LChen, Weixuan and Yang, Qianqian&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222822" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression&lt;/strong&gt; Li, Shujia and Wang, Dezhao and Fan, Zejia and Liu, Jiaying&lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222067" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Edge-Guided Remote-Sensing Image Compression&lt;/strong&gt; Han, Pengfei and Zhao, Bin and Li, Xuelong &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10247080" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Learned Image Compression Guided Adaptive Quantization for Perceptual Quality&lt;/strong&gt; Chen, Cheng and Geng, Ruiqi and Li, Bohan and Ustarroz-Calonge, Maryla and Galligan, Frank and Han, Jingning and Xu, Yaowu &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222637" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Unified Learning-Based Lossy and Lossless Jpeg Recompression&lt;/strong&gt; J. Zhang et al. &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222354" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;ULcompress: A Unified low bit-rate image Compression Framework via Invertible Image Representation&lt;/strong&gt; F. Gao, X. Deng, C. Gao and M. Xu &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222242" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Learned Image Compression with Multi-Scan Based Channel Fusion&lt;/strong&gt; Y. Li, W. Zhou, P. Lu and S. -i. Kamata, &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222127" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Integer Quantized Learned Image Compression&lt;/strong&gt; G. -W. Jeon, S. Yu and J. -S. Lee &lt;a class="link" href="https://ieeexplore.ieee.org/document/10222336" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression&lt;/strong&gt; Hu, Yuting and Tan, Wen and Meng, Fanyang and Liang, Yongsheng &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10222381" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation&lt;/strong&gt; Meng, Xiandong and Zhu, Shuyuan and Ma, Siwei and Zeng, Bing &lt;a class="link" href="https://ieeexplore.ieee.org/document/10222366" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;An Improved Upper Bound on the Rate-Distortion Function of Images&lt;/strong&gt; Duan, Zhihao and Ma, Jack and He, Jiangpeng and Zhu, Fengqing&lt;a class="link" href="https://arxiv.org/pdf/2309.02574.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2023) &lt;strong&gt;AICT: An Adaptive Image Compression Transformer&lt;/strong&gt; Ghorbel, Ahmed and Hamidouche, Wassim and Morin, Luce&lt;a class="link" href="https://arxiv.org/pdf/2307.06091.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(WACV 2023) &lt;strong&gt;Neural Distributed Image Compression with Cross-Attention Feature Alignment&lt;/strong&gt; Mital, Nitish and {&amp;quot;O}zyilkan, Ezgi and Garjani, Ali and G{&amp;quot;u}nd{&amp;quot;u}z, Deniz&lt;a class="link" href="https://openaccess.thecvf.com/content/WACV2023/papers/Mital_Neural_Distributed_Image_Compression_With_Cross-Attention_Feature_Alignment_WACV_2023_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VCIP 2023) &lt;strong&gt;Image Data Hiding in Neural Compressed Latent Representations&lt;/strong&gt; Huang, Chen-Hsiu and Wu, Ja-Ling&lt;a class="link" href="https://ieeexplore.ieee.org/document/10402627" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2023) &lt;strong&gt;EVC: TOWARDS REAL-TIME NEURAL IMAGE COMPRESSION WITH MASK DECA&lt;/strong&gt; Wang, Guo-Hua and Li, Jiahao and Li, Bin and Lu, Yan &lt;a class="link" href="https://arxiv.org/pdf/2302.05071.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2023) &lt;strong&gt;A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference&lt;/strong&gt; Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10402704&amp;amp;casa_token=SpFz9g7TeT8AAAAA:GNVUj1Qv03LvWGp3bF9iyCSr_-ZLx6-HNZM4vxYXFqs_yTFitBKet3htVPIc1LR4uKboCvnL" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2023) &lt;strong&gt;A Novel Cross-Component Context Model for End-to-End Wavelet Image Coding&lt;/strong&gt; Meyer, Anna and Kaup, Andr{'e} &lt;a class="link" href="https://arxiv.org/pdf/2303.05121.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2024) &lt;strong&gt;Lightweight Context Model Equipped aiWave in Response to the AVS Call for Evidence on Volumetric Medical Image Coding&lt;/strong&gt; Xue, Dongmei and Li, Li and Liu, Dong and Li, Houqiang &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10453226" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2023) &lt;strong&gt;MASIC: Deep Mask Stereo Image Compression&lt;/strong&gt; Deng, Xin and Deng, Yufan and Yang, Ren and Yang, Wenzhe and Timofte, Radu and Xu, Mai &lt;a class="link" href="https://scholar.google.com/scholar_url?url=https://ieeexplore.ieee.org/iel7/76/4358651/10061473.pdf%3Fcasa_token%3DyxaR8FAUmccAAAAA:NZVDcw8yyjkyl1jR53FSSfUBKSAUxSgFwjNl6n3E3gjtklYQ7e6KLBD0sY9rtdPDj3cMxRyjb3w&amp;amp;hl=zh-CN&amp;amp;sa=T&amp;amp;oi=ucasa&amp;amp;ct=ucasa&amp;amp;ei=C7HBZbBn6NLL1g_hqbWgCw&amp;amp;scisig=AFWwaeauyyBtBEhlO7xzS3SgL_l_" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2023) &lt;strong&gt;Extremely Low Bit-rate Image Compression via Invertible Image Generation&lt;/strong&gt; Gao, Fangyuan and Deng, Xin and Jing, Junpeng and Zou, Xin and Xu, Mai &lt;a class="link" href="https://ieeexplore.ieee.org/document/10256132" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2023) &lt;strong&gt;Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks&lt;/strong&gt; Yang, Mingyi and Yang, Fei and Murn, Luka and Blanch, Marc Gorriz and Sock, Juil and Wan, Shuai and Yang, Fuzheng and Herranz, Luis &lt;a class="link" href="https://ieeexplore.ieee.org/document/10256132" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2023) &lt;strong&gt;Rethinking semantic image compression: Scalable representation with cross-modality transfer&lt;/strong&gt; Zhang, Pingping and Wang, Shiqi and Wang, Meng and Li, Jiguo and Wang, Xu and Kwong, Sam &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10032603&amp;amp;casa_token=jUWiQNkyzn4AAAAA:sB3n5iqEj4xbTgiOrrXxsI5lbXizq0V9wxvkaZ71ik2nPah0yHZ8WzHwbkrp-URvTMuHukK3&amp;amp;tag=1" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2023) &lt;strong&gt;Facial Image Compression via Neural Image Manifold Compression&lt;/strong&gt; Yang, Wenhan and Huang, Haofeng and Liu, Jiaying and Kot, Alex C. &lt;a class="link" href="https://ieeexplore.ieee.org/abstract/document/10122667" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2023) &lt;strong&gt;Sketch Assisted Face Image Coding for Human and Machine Vision: a Joint Training Approach.&lt;/strong&gt; Fang, Xin and Duan, Yiping and Du, Qiyuan and Tao, Xiaoming and Li, Fan &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10082973&amp;amp;casa_token=bXnEBK4JjLcAAAAA:JO0euK8CEhYZUGE70J9G-3WUZVOVeh5DkXdHQRnWQCSrgg4ybixUxy1J0tFCcYyZWvvggncp" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICCV 2023) &lt;strong&gt;COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability&lt;/strong&gt; Park, Jongmin and Lee, Jooyoung and Kim, Munchurl &lt;a class="link" href="https://openaccess.thecvf.com/content/ICCV2023/papers/Park_COMPASS_High-Efficiency_Deep_Image_Compression_with_Arbitrary-scale_Spatial_Scalability_ICCV_2023_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICCV 2023) &lt;strong&gt;AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing&lt;/strong&gt; Tao, Lvfang and Gao, Wei and Li, Ge and Zhang, Chenhao &lt;a class="link" href="https://openaccess.thecvf.com/content/ICCV2023/papers/Tao_AdaNIC_Towards_Practical_Neural_Image_Compression_via_Dynamic_Transform_Routing_ICCV_2023_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(WCACV 2023) &lt;strong&gt;Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model&lt;/strong&gt; Iwai, Shoma and Miyazaki, Tomo and Omachi, Shinichiro &lt;a class="link" href="https://openaccess.thecvf.com/content/WACV2024/papers/Iwai_Controlling_Rate_Distortion_and_Realism_Towards_a_Single_Comprehensive_Neural_WACV_2024_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation&lt;/strong&gt; K{&amp;quot;o}rber, Nikolai and Kromer, Eduard and Siebert, Andreas and Hauke, Sascha and Mueller-Gritschneder, Daniel &lt;a class="link" href="https://arxiv.org/pdf/2309.03244.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;A Training-Free Defense Framework for Robust Learned Image Compression&lt;/strong&gt; Song, Myungseo and Choi, Jinyoung and Han, Bohyung &lt;a class="link" href="https://arxiv.org/pdf/2401.11902.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information&lt;/strong&gt;Xia, Yichong and Huang, Yujun and Chen, Bin and Wang, Haoqian and Wang, Yaowei&lt;a class="link" href="https://arxiv.org/pdf/2312.16963.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding&lt;/strong&gt;Zhang, Yichi and Duan, Zhihao and Lu, Ming and Ding, Dandan and Zhu, Fengqing and Ma, Zhan&lt;a class="link" href="https://arxiv.org/pdf/2401.11615.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Attack and Defense Analysis of Learned Image Compression&lt;/strong&gt;Zhu, Tianyu and Sun, Heming and Xiong, Xiankui and Zhu, Xuanpeng and Gong, Yong and Fan, Yibo and others&lt;a class="link" href="https://arxiv.org/pdf/2401.10345.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation&lt;/strong&gt; Fu, Haisheng and Liang, Feng and Liang, Jie and Wang, Yongqiang and Zhang, Guohe and Han, Jingning &lt;a class="link" href="https://arxiv.org/pdf/2309.02529.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Multi-Context Dual Hyper-Prior Neural Image Compression&lt;/strong&gt; Khoshkhahtinat, Atefeh and Zafari, Ali and Mehta, Piyush M and Akyash, Mohammad and Kashiani, Hossein and Nasrabadi, Nasser M &lt;a class="link" href="https://arxiv.org/pdf/2309.10799.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;On Uniform Scalar Quantization for Learned Image Compression&lt;/strong&gt; Zhang, Haotian and Li, Li and Liu, Dong&lt;a class="link" href="https://arxiv.org/pdf/2309.17051.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Frequency-Aware Transformer for Learned Image Compression&lt;/strong&gt; Li, Han and Li, Shaohui and Dai, Wenrui and Li, Chenglin and Zou, Junni and Xiong, Hongkai&lt;a class="link" href="https://arxiv.org/pdf/2310.16387.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Perceptual Image Compression with Cooperative Cross-Modal Side Information&lt;/strong&gt; Qin, Shiyu and Chen, Bin and Huang, Yujun and An, Baoyi and Dai, Tao and Via, Shu-Tao&lt;a class="link" href="https://arxiv.org/pdf/2311.13847.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression&lt;/strong&gt; Qin, Shiyu and Zhou, Yimin and Wang, Jinpeng and Chen, Bin and An, Baoyi and Dai, Tao and Xia, Shu-Tao&lt;a class="link" href="https://arxiv.org/pdf/2311.17350.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2023) &lt;strong&gt;Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression&lt;/strong&gt; Gao, Yixin and Feng, Runsen and Guo, Zongyu and Chen, Zhibo&lt;a class="link" href="https://arxiv.org/pdf/2305.07678.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(JVCIR 2023) &lt;strong&gt;Corner-to-Center long-range context model for efficient learned image compression&lt;/strong&gt; LSui, Yang and Ding, Ding and Pan, Xiang and Xu, Xiaozhong and Liu, Shan and Yuan, Bo and Chen, Zhenzhong&lt;a class="link" href="https://arxiv.org/pdf/2311.18103.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(VICP 2023) &lt;strong&gt;A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference&lt;/strong&gt; Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10402704&amp;amp;casa_token=SpFz9g7TeT8AAAAA:GNVUj1Qv03LvWGp3bF9iyCSr_-ZLx6-HNZM4vxYXFqs_yTFitBKet3htVPIc1LR4uKboCvnL" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TMI 2023) &lt;strong&gt;A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference&lt;/strong&gt; Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10402704&amp;amp;casa_token=SpFz9g7TeT8AAAAA:GNVUj1Qv03LvWGp3bF9iyCSr_-ZLx6-HNZM4vxYXFqs_yTFitBKet3htVPIc1LR4uKboCvnL" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="2022"&gt;✔2022
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;(PCS 2022) &lt;strong&gt;Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression&lt;/strong&gt; Balcilar, Muhammet and Damodaran, Bharath and Hellier, Pierre &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10018064&amp;amp;casa_token=T3OEyA4gC_UAAAAA:hV74ZEkQEKKE940LsRyDFRFIhIQcATSnQKZsc8mTr2UTT6jLIMAyBijHG1pTfFJG-8VxRRn7XuA" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt; e&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR workshop 2022) &lt;strong&gt;Self-Supervised Variable Rate Image Compression using Visual Attention&lt;/strong&gt; Sinha, Abhishek Kumar and Moorthi, S Manthira and Dhar, Debajyoti&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Sinha_Self-Supervised_Variable_Rate_Image_Compression_Using_Visual_Attention_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR workshop 2022) &lt;strong&gt;RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth&lt;/strong&gt; Brand, Fabian and Fischer, Kristian and Kopte, Alexander and Windsheimer, Marc and Kaup, Andr{'e} &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Brand_RDONet_Rate-Distortion_Optimized_Learned_Image_Compression_With_Variable_Depth_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Transformations in Learned Image Compression from Modulation Perspective&lt;/strong&gt; Bao, Youneng and Meng, Fangyang and Tan, Wen and Li, Chao and Tian, Yonghong and Liang, Yongsheng &lt;a class="link" href="https://arxiv.org/pdf/2203.02158.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Flexible Neural Image Compression via Code Editing&lt;/strong&gt; Gao, Chenjian and Xu, Tongda and He, Dailan and Qin, Hongwei and Wang, Yan &lt;a class="link" href="https://arxiv.org/pdf/2209.09244.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory&lt;/strong&gt; Zafari, Ali and Khoshkhahtinat, Atefeh and Mehta, Piyush M and Nasrabadi, Nasser M and Thompson, Barbara J and da Silva, Daniel and Kirk, Michael SF&lt;a class="link" href="https://arxiv.org/pdf/2210.06478.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction&lt;/strong&gt; Lei, Zhongyue and Duan, Peng and Hong, Xuemin and Mota, Jo{~a}o FC and Shi, Jianghong and Wang, Cheng-Xiang &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9970515&amp;amp;casa_token=wr2tdLJpoSQAAAAA:yxNRSlqMzqo0libGY0kbkrP79VRTccC5BmKEzCC5ziY9shpizVudordovWx5BOFOgQSHC7dxrZs" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2022) &lt;strong&gt;Universal Deep Image Compression via Content-Adaptive Optimization with Adapters&lt;/strong&gt; Tsubota, Koki and Akutsu, Hiroaki and Aizawa, Kiyoharu &lt;a class="link" href="https://openaccess.thecvf.com/content/WACV2023/papers/Tsubota_Universal_Deep_Image_Compression_via_Content-Adaptive_Optimization_With_Adapters_WACV_2023_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2022) &lt;strong&gt;User-Guided Variable Rate Learned Image Compression&lt;/strong&gt; Gupta, Rushil and BV, Suryateja and Kapoor, Nikhil and Jaiswal, Rajat and Nangi, Sharmila Reddy and Kulkarni, Kuldeep&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Gupta_User-Guided_Variable_Rate_Learned_Image_Compression_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2022) &lt;strong&gt;Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression&lt;/strong&gt; L{&amp;quot;o}hdefink, Jonas and Sitzmann, Jonas and B{&amp;quot;a}r, Andreas and Fingscheidt, Tim &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Lohdefink_Adaptive_Bitrate_Quantization_Scheme_Without_Codebook_for_Learned_Image_Compression_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2022) &lt;strong&gt;OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression&lt;/strong&gt; Bidgoli, Navid Mahmoudian and Roberto, G de A and Maugey, Thomas and Roumy, Aline and Frossard, Pascal &lt;a class="link" href="https://arxiv.org/pdf/2107.09179.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(AAAI 2022) &lt;strong&gt;Two-Stage Octave Residual Network for End-to-End Image Compression&lt;/strong&gt; Chen, Fangdong and Xu, Yumeng and Wang, Li &lt;a class="link" href="https://scholar.google.com/scholar?hl=zh-CN&amp;amp;as_sdt=0%2C5&amp;amp;q=Two-Stage&amp;#43;Octave&amp;#43;Residual&amp;#43;Network&amp;#43;for&amp;#43;End-to-End&amp;#43;Image&amp;#43;Compression&amp;amp;btnG=#:~:text=%E5%B9%B4%E4%BB%BD-,%5BPDF%5D%20aaai.org,-Two%2DStage%20Octave" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Preprocessing Enhanced Image Compression for Machine Vision&lt;/strong&gt; Lu, Guo and Ge, Xingtong and Zhong, Tianxiong and Geng, Jing and Hu, Qiang &lt;a class="link" href="https://arxiv.org/pdf/2206.05650.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Learning-Driven Lossy Image Compression; A
Comprehensive Survey&lt;/strong&gt; Jamil, Sonain and Piran, Md and others &lt;a class="link" href="https://arxiv.org/pdf/2201.09240.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Estimating the Resize Parameter in End-to-end Learned Image Compression&lt;/strong&gt; Chen, Li-Heng and Bampis, Christos G and Li, Zhi and Krasula, Luk{'a}{\v{s}} and Bovik, Alan C &lt;a class="link" href="https://arxiv.org/pdf/2204.12022.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Image Compression with Product Quantized Masked Image Modeling&lt;/strong&gt; El-Nouby, Alaaeldin and Muckley, Matthew J and Ullrich, Karen and Laptev, Ivan and Verbeek, Jakob and J{'e}gou, Herv{'e} &lt;a class="link" href="https://arxiv.org/pdf/2212.07372.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ITJ 2022) &lt;strong&gt;Human–Machine Interaction-Oriented Image Coding for Res8ource-Constrained Visual Monitoring in IoT&lt;/strong&gt;
Wang, Zixi and Li, Fan and Xu, Jing and Cosman, Pamela C &lt;a class="link" href="" &gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TGRS 2022) &lt;strong&gt;Towards simultaneous image compression and indexing for scalable content-based retrieval in remote sensing&lt;/strong&gt; Sumbul, Gencer and Xiang, Jun and Demir, Beg{&amp;quot;u}m &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9878355" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(SPI 2022) &lt;strong&gt;Rate-constrained learning-based image compression&lt;/strong&gt; &lt;a class="link" href="" &gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2022) &lt;strong&gt;Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression&lt;/strong&gt; Chen, Zhenghao and Gu, Shuhang and Lu, Guo and Xu, Dong &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9694511&amp;amp;casa_token=_INFRj8nkRkAAAAA:_4VWc5Q56n7hHUi5xnIS3Yyno0YRwyVWQdEnU2XqmAV6Sv_XnG7SgBnO0DfYUnoLuNP-3iKOivk" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt; lossless&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Entroformer: A transformer-based entropy model for learned image compression&lt;/strong&gt; Qian, Yichen and Lin, Ming and Sun, Xiuyu and Tan, Zhiyu and Jin, Rong &lt;a class="link" href="https://arxiv.org/pdf/2202.05492.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(Arxiv 2022) &lt;strong&gt;Multi-Sample Training for Neural Image Compression&lt;/strong&gt; Xu, Tongda and Wang, Yan and He, Dailan and Gao, Chenjian and Gao, Han and Liu, Kunzan and Qin, Hongwei &lt;a class="link" href="https://arxiv.org/pdf/2209.13834.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding&lt;/strong&gt; He, Dailan and Yang, Ziming and Peng, Weikun and Ma, Rui and Qin, Hongwei and Wang, Yan &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/He_ELIC_Efficient_Learned_Image_Compression_With_Unevenly_Grouped_Space-Channel_Contextual_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ECCV 2022) &lt;strong&gt;Contextformer: A Transformer with
Spatio-Channel Attention for Context Modeling
in Learned Image Compression&lt;/strong&gt; Koyuncu, A Burakhan and Gao, Han and Boev, Atanas and Gaikov, Georgii and Alshina, Elena and Steinbach, Eckehard &lt;a class="link" href="https://arxiv.org/pdf/2203.02452.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ECCV 2022) &lt;strong&gt;Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression&lt;/strong&gt; Koyuncu, A Burakhan and Gao, Han and Boev, Atanas and Gaikov, Georgii and Alshina, Elena and Steinbach, Eckehard &lt;a class="link" href="https://link.springer.com/content/pdf/10.1007/978-3-031-19800-7_26.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ECCV 2022) &lt;strong&gt;Content-Oriented Learned Image
Compression&lt;/strong&gt; Li, Meng and Gao, Shangyin and Feng, Yihui and Shi, Yibo and Wang, Jing &lt;a class="link" href="https://link.springer.com/content/pdf/10.1007/978-3-031-19800-7_37.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ECCV 2022) &lt;strong&gt;Implicit Neural Representations
for Image Compression&lt;/strong&gt; Str{&amp;quot;u}mpler, Yannick and Postels, Janis and Yang, Ren and Gool, Luc Van and Tombari, Federico &lt;a class="link" href="https://arxiv.org/pdf/2112.04267.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ECCV 2022) &lt;strong&gt;Content Adaptive Latents and Decoder for Neural Image Compression&lt;/strong&gt; Pan, Guanbo and Lu, Guo and Hu, Zhihao and Xu, Dong &lt;a class="link" href="https://arxiv.org/pdf/2212.10132.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ECCV 2022) &lt;strong&gt;Optimizing Image Compression via Joint
Learning with Denoising&lt;/strong&gt; Cheng, Ka Leong and Xie, Yueqi and Chen, Qifeng &lt;a class="link" href="https://link.springer.com/content/pdf/10.1007/978-3-031-19800-7_4.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt; denoising&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(2022) &lt;strong&gt;2C-Net: Integrate Image Compression and Classification via Deep Neural Network&lt;/strong&gt; Liu, Linfeng and Chen, Tong and Liu, Haojie and Pu, Shiliang and Wang, Li and Shen, Qiu &lt;a class="link" href="https://assets.researchsquare.com/files/rs-2049607/v1_covered.pdf?c=1663278884" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2022) &lt;strong&gt;High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation&lt;/strong&gt; Cai, Shilv and Zhang, Zhijun and Chen, Liqun and Yan, Luxin and Zhong, Sheng and Zou, Xu [&lt;a class="link" href="https://arxiv.org/pdf/2209.05054.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arxiv 2022) &lt;strong&gt;Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression&lt;/strong&gt; Bai, Yuanchao and Liu, Xianming and Wang, Kai and Ji, Xiangyang and Wu, Xiaolin and Gao, Wen [&lt;a class="link" href="https://arxiv.org/pdf/2209.04847.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2022) &lt;strong&gt;End-to-End Optimized Image Compression With Deep Gaussian Process Regression&lt;/strong&gt; Cao, Maida and Dai, Wenrui and Li, Shaohui and Li, Chenglin and Zou, Junni and Chen, Ying and Xiong, Hongkai [&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9903432" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2022) &lt;strong&gt;End-to-end optimized 360° image compression&lt;/strong&gt; Li, Mu and Li, Jinxing and Gu, Shuhang and Wu, Feng and Zhang, David [&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9904466" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arxiv 2022) &lt;strong&gt;Lossy Compression with Gaussian Diffusion&lt;/strong&gt; Theis, Lucas and Salimans, Tim and Hoffman, Matthew D and Mentzer, Fabian [&lt;a class="link" href="https://arxiv.org/pdf/2206.08889.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arxiv 2022) &lt;strong&gt;Joint Image Compression and Denoising via Latent-Space Scalability&lt;/strong&gt; Alvar, Saeed Ranjbar and Ulhaq, Mateen and Choi, Hyomin and Baji{'c}, Ivan V [&lt;a class="link" href="https://arxiv.org/pdf/2205.01874.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arxiv 2022) &lt;strong&gt;Post-Training Quantization for Cross-Platform Learned Image Compression&lt;/strong&gt; He, Dailan and Yang, Ziming and Chen, Yuan and Zhang, Qi and Qin, Hongwei and Wang, Yan [&lt;a class="link" href="https://arxiv.org/pdf/2202.07513.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2022) &lt;strong&gt;Satellite Image Compression and Denoising With Neural Networks&lt;/strong&gt; Yin, Shanzhi and Li, Chao and Bao, Youneng and Liang, Yongsheng and Meng, Fanyang and Liu, Wei [&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9747854" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICASSP 2022) &lt;strong&gt;AdderIC: Towards Low Computation Cost Image Compression&lt;/strong&gt; Li, Bowen and Xin, Yao and Li, Chao and Bao, Youneng and Meng, Fanyang and Liang, Yongsheng [&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9747652" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(IEEE Geoscience and Remote Sensing Letters 2022) &lt;strong&gt;Universal Efficient Variable-Rate Neural Image Compression&lt;/strong&gt; de Oliveira, Vinicius Alves and Chabert, Marie and Oberlin, Thomas and Poulliat, Charly and Bruno, Mickael and Latry, Christophe and Carlavan, Mikael and Henrot, Simon and Falzon, Frederic and Camarero, Roberto [&lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9690871" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;The Devil Is in the Details: Window-Based Attention for Image Compression&lt;/strong&gt; Zou, Renjie and Song, Chunfeng and Zhang, Zhaoxiang &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Zou_The_Devil_Is_in_the_Details_Window-Based_Attention_for_Image_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;Joint Global and Local Hierarchical Priors for Learned Image Compression&lt;/strong&gt;, Kim, Jun-Hyuk and Heo, Byeongho and Lee, Jong-Seok &lt;a class="link" href="https://arxiv.org/pdf/2112.04487.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding&lt;/strong&gt; Zhou, Xuanyu and Qi, Charles R and Zhou, Yin and Anguelov, Dragomir [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Zhou_RIDDLE_Lidar_Data_Compression_With_Range_Image_Deep_Delta_Encoding_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;Neural Data-Dependent Transform for Learned Image Compression&lt;/strong&gt; Wang, Dezhao and Yang, Wenhan and Hu, Yueyu and Liu, Jiaying [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Neural_Data-Dependent_Transform_for_Learned_Image_Compression_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2022) &lt;strong&gt;Self-Supervised Variable Rate Image Compression using Visual Attention&lt;/strong&gt; Sinha, Abhishek Kumar and Moorthi, S Manthira and Dhar, Debajyoti [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Sinha_Self-Supervised_Variable_Rate_Image_Compression_Using_Visual_Attention_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2022) &lt;strong&gt;User-Guided Variable Rate Learned Image Compression&lt;/strong&gt; Gupta, Rushil and BV, Suryateja and Kapoor, Nikhil and Jaiswal, Rajat and Nangi, Sharmila Reddy and Kulkarni, Kuldeep [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Gupta_User-Guided_Variable_Rate_Learned_Image_Compression_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;RDONet: Rate-Distortion Optimized Learned Image Compression With Variable Depth&lt;/strong&gt; Brand, Fabian and Fischer, Kristian and Kopte, Alexander and Windsheimer, Marc and Kaup, Andr{'e}. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Brand_RDONet_Rate-Distortion_Optimized_Learned_Image_Compression_With_Variable_Depth_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network&lt;/strong&gt; Rhee, Hochang and Jang, Yeong Il and Kim, Seyun and Cho, Nam Ik. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Rhee_LC-FDNet_Learned_Lossless_Image_Compression_With_Frequency_Decomposition_Network_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;PO-ELIC: Perception-Oriented Efficient Learned Image Coding&lt;/strong&gt; He, Dailan and Yang, Ziming and Yu, Hongjiu and Xu, Tongda and Luo, Jixiang and Chen, Yuan and Gao, Chenjian and Shi, Xinjie and Qin, Hongwei and Wang, Yan. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/He_PO-ELIC_Perception-Oriented_Efficient_Learned_Image_Coding_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;Online Meta Adaptation for Variable-Rate Learned Image Compression&lt;/strong&gt; Jiang, Wei and Wang, Wei and Li, Songnan and Liu, Shan. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Jiang_Online_Meta_Adaptation_for_Variable-Rate_Learned_Image_Compression_CVPRW_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression&lt;/strong&gt; Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Zhu_Unified_Multivariate_Gaussian_Mixture_for_Efficient_Neural_Image_Compression_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;Split Hierarchical Variational Compression&lt;/strong&gt; Ryder, Tom and Zhang, Chen and Kang, Ning and Zhang, Shifeng. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Ryder_Split_Hierarchical_Variational_Compression_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention&lt;/strong&gt; W{&amp;quot;o}dlinger, Matthias and Kotera, Jan and Xu, Jan and Sablatnig, Robert. [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Wodlinger_SASIC_Stereo_Image_Compression_With_Latent_Shifts_and_Stereo_Attention_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2022) &lt;strong&gt;Deep Stereo Image Compression via Bi-directional Coding&lt;/strong&gt;, Lei, Jianjun and Liu, Xiangrui and Peng, Bo and Jin, Dengchao and Li, Wanqing and Gu, Jingxiao [&lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2022/papers/Lei_Deep_Stereo_Image_Compression_via_Bi-Directional_Coding_CVPR_2022_paper.pdf" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(AAAI 2022) &lt;strong&gt;OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression&lt;/strong&gt;, Cao, Linfeng and Jiang, Aofan and Li, Wei and Wu, Huaying and Ye, Nanyang &lt;a class="link" href="https://www.aaai.org/AAAI22Papers/AAAI-8610.CaoL.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (HDR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression&lt;/strong&gt;, Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao &lt;a class="link" href="https://arxiv.org/pdf/2203.10897.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;a class="link" href="https://github.com/xiaosu-zhu/McQuic" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt; (E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;Estimating the Resize Parameter in End-to-end Learned Image Compression&lt;/strong&gt;, Chen, Li-Heng and Bampis, Christos G and Li, Zhi and Krasula, Luk{'a}{\v{s}} and Bovik, Alan C &lt;a class="link" href="https://arxiv.org/pdf/2204.12022.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;a class="link" href="https://github.com/xiaosu-zhu/McQuic" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt; (Sa)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression&lt;/strong&gt;, Ma, Yi and Zhai, Yongqi and Wang, Ronggang &lt;a class="link" href="https://arxiv.org/pdf/2201.01173.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;(Sa)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training&lt;/strong&gt;, Kamisli, Fatih &lt;a class="link" href="https://arxiv.org/pdf/2203.11686.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (T+E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;Transformations in Learned Image Compression from Modulation Perspective&lt;/strong&gt;, Bao, Youneng and Meng, Fangyang and Tan, Wen and Li, Chao and Tian, Yonghong and Liang, Yongsheng &lt;a class="link" href="https://arxiv.org/pdf/2203.02158.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;Identity Preserving Loss for Learned Image Compression&lt;/strong&gt;, Xiao, Jiuhong and Aggarwal, Lavisha and Banerjee, Prithviraj and Aggarwal, Manoj and Medioni, Gerard &lt;a class="link" href="https://arxiv.org/pdf/2204.10869.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation&lt;/strong&gt;, Lu, Ming and Ma, Zhan &lt;a class="link" href="https://arxiv.org/pdf/2204.11448.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;Learning Weighting Map for Bit-Depth Expansion within a Rational Range&lt;/strong&gt;, Liu, Yuqing and Jia, Qi and Zhang, Jian and Fan, Xin and Wang, Shanshe and Ma, Siwei and Gao, Wen &lt;a class="link" href="https://arxiv.org/pdf/2204.12039.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/yuqing-liu-dut/bit-depth-expansion" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2022) &lt;strong&gt;Joint Image Compression and Denoising via Latent-Space Scalability&lt;/strong&gt;, Ranjbar Alvar, Saeed and Ulhaq, Mateen and Choi, Hyomin and Baji{'c}, Ivan V &lt;a class="link" href="https://arxiv.org/pdf/2205.01874.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="2021"&gt;✔2021
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;(TPAMI 2021) &lt;strong&gt;Learning end-to-end lossy image compression: A benchmark&lt;/strong&gt;, Hu, Yueyu and Yang, Wenhan and Ma, Zhan and Liu, Jiaying &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9376651" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/huzi96/Coarse2Fine-PyTorch" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;(Benchmark)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(IJCV 2021) &lt;strong&gt;Semantics-to-signal scalable image compression with learned revertible representations&lt;/strong&gt;, Liu, Kang and Liu, Dong and Li, Li and Yan, Ning and Li, Houqiang &lt;a class="link" href="https://link.springer.com/content/pdf/10.1007/s11263-021-01491-7.pdf1" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;[&lt;a class="link" href="https://github.com/micmic123/QmapCompression" target="_blank" rel="noopener"
&gt;code&lt;/a&gt;] (Scalable)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TIP 2021) &lt;strong&gt;Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks&lt;/strong&gt;, Wang, Juan and Duan, Yiping and Tao, Xiaoming and Xu, Mai and Lu, Jianhua &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9381614" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICLR 2021) &lt;strong&gt;Hierarchical Image Compression Framework&lt;/strong&gt;, Ge, Yunying and Wang, Jing and Shi, Yibo and Gao, Shangyin &lt;a class="link" href="https://openreview.net/pdf?id=8rPXT-SVgjh" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICCV 2021) &lt;strong&gt;Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform&lt;/strong&gt;, Song, Myungseo and Choi, Jinyoung and Han, Bohyung &lt;a class="link" href="https://openaccess.thecvf.com/content/ICCV2021/papers/Song_Variable-Rate_Deep_Image_Compression_Through_Spatially-Adaptive_Feature_Transform_ICCV_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2021) &lt;strong&gt;Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation&lt;/strong&gt;, Cui, Ze and Wang, Jing and Gao, Shangyin and Guo, Tiansheng and Feng, Yihui and Bai, Bo &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021/papers/Cui_Asymmetric_Gained_Deep_Image_Compression_With_Continuous_Rate_Adaptation_CVPR_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/mmSir/GainedVAE" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;(VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2021) &lt;strong&gt;Checkerboard context model for efficient learned image compression&lt;/strong&gt;, He, Dailan and Zheng, Yaoyan and Sun, Baocheng and Wang, Yan and Qin, Hongwei &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021/papers/He_Checkerboard_Context_Model_for_Efficient_Learned_Image_Compression_CVPR_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/leelitian/Checkerboard-Context-Model-Pytorch" target="_blank" rel="noopener"
&gt;[code1]&lt;/a&gt; &lt;a class="link" href="https://github.com/JiangWeibeta/Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt; (E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 2021) &lt;strong&gt;Learning scalable ly=-constrained near-lossless image compression via joint lossy image and residual compression&lt;/strong&gt;, Bai, Yuanchao and Liu, Xianming and Zuo, Wangmeng and Wang, Yaowei and Ji, Xiangyang &lt;a class="link" href="[https://openaccess.thecvf.com/content/CVPR2021/papers/Cui_Asymmetric_Gained_Deep_Image_Compression_With_Continuous_Rate_Adaptation_CVPR_2021_paper.pdf" &gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/mmSir/GainedVAE]%28https://openaccess.thecvf.com/content/CVPR2021/papers/Bai_Learning_Scalable_lY-Constrained_Near-Lossless_Image_Compression_via_Joint_Lossy_Image_CVPR_2021_paper.pdf%29" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;(lossless)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;End-to-end optimized image compression with competition of prior distributions&lt;/strong&gt;, Brummer, Benoit and De Vleeschouwer, Christophe &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Brummer_End-to-End_Optimized_Image_Compression_With_Competition_of_Prior_Distributions_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/trougnouf/Manypriors" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;(E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;Subjective Quality Optimized Efficient Image Compression&lt;/strong&gt;, Wang, Xining and Chen, Tong and Ma, Zhan &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Wang_Subjective_Quality_Optimized_Efficient_Image_Compression_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/mmSir/GainedVAE" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;(perceptual)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;Variable Rate ROI Image Compression Optimized for Visual Quality&lt;/strong&gt;, Ma, Yi and Zhai, Yongqi and Yang, Chunhui and Yang, Jiayu and Wang, Ruofan and Zhou, Jing and Li, Kai and Chen, Ying and Wang, Ronggang &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Ma_Variable_Rate_ROI_Image_Compression_Optimized_for_Visual_Quality_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;(VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;Image Compression with Recurrent Neural Network and Generalized Divisive Normalization&lt;/strong&gt;, Islam, Khawar and Dang, L Minh and Lee, Sujin and Moon, Hyeonjoon &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Islam_Image_Compression_With_Recurrent_Neural_Network_and_Generalized_Divisive_Normalization_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;a class="link" href="https://github.com/khawar-islam/cvpr" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;End-to-End Learned Image Compression with Augmented Normalizing Flows&lt;/strong&gt;, Ho, Yung-Han and Chan, Chih-Chun and Peng, Wen-Hsiao and Hang, Hsueh-Ming &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Islam_Image_Compression_With_Recurrent_Neural_Network_and_Generalized_Divisive_Normalization_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;a class="link" href="https://github.com/dororojames/anfic" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;Learned Image Compression with Super-Resolution Residual Modules and DISTS Optimization&lt;/strong&gt;, Suzuki, Akifumi and Akutsu, Hiroaki and Naruko, Takahiro and Tsubota, Koki and Aizawa, Kiyoharu &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Suzuki_Learned_Image_Compression_With_Super-Resolution_Residual_Modules_and_DISTS_Optimization_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (Perceptual)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPRW 2021) &lt;strong&gt;Perceptual Friendly Variable Rate Image Compression&lt;/strong&gt;, Gao, Yixin and Wu, Yaojun and Guo, Zongyu and Zhang, Zhizheng and Chen, Zhibo &lt;a class="link" href="https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Gao_Perceptual_Friendly_Variable_Rate_Image_Compression_CVPRW_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (VR+Perceptual)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(WACV 2021) &lt;strong&gt;Saliency Driven Perceptual Image Compression&lt;/strong&gt;, Patel, Yash and Appalaraju, Srikar and Manmatha, R &lt;a class="link" href="https://openaccess.thecvf.com/content/WACV2021/papers/Patel_Saliency_Driven_Perceptual_Image_Compression_WACV_2021_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (perceputal)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2021) &lt;strong&gt;Causal contextual prediction for learned image compression&lt;/strong&gt;, Guo, Zongyu and Zhang, Zhizheng and Feng, Runsen and Chen, Zhibo &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9455349" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TCSVT 2021) &lt;strong&gt;Learned Block-based Hybrid Image Compression&lt;/strong&gt;, Wu, Yaojun and Li, Xin and Zhang, Zhizheng and Jin, Xin and Chen, Zhibo &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9455349" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (T+E)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2021) &lt;strong&gt;Enhanced Invertible Encoding for Learned Image Compression&lt;/strong&gt;, Yueqi Xie, Ka Leong Cheng, Qifeng Chen &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3474085.3475213" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; &lt;a class="link" href="https://github.com/xyq7/InvCompress" target="_blank" rel="noopener"
&gt;[code]&lt;/a&gt; (Invertible)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2021) &lt;strong&gt;Semantic Scalable Image Compression with Cross-Layer Priors&lt;/strong&gt;, Tu, Hanyue and Li, Li and Zhou, Wengang and Li, Houqiang &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3474085.3475533" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (Scalable)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ACMMM 2021) &lt;strong&gt;Interpolation Variable Rate Image Compression&lt;/strong&gt;, Sun, Zhenhong and Tan, Zhiyu and Sun, Xiuyu and Zhang, Fangyi and Qian, Yichen and Li, Dongyang and Li, Hao &lt;a class="link" href="https://dl.acm.org/doi/pdf/10.1145/3474085.3475698" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(TMM 2021) &lt;strong&gt;Learned Multi-Resolution Variable-Rate Image Compression With Octave-Based Residual Blocks&lt;/strong&gt;, Akbari, Mohammad and Liang, Jie and Han, Jingning and Tu, Chengjie &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9385968&amp;amp;tag=1" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(DCC 2021) &lt;strong&gt;Accelerate Neural Image Compression with Channel-adaptive Arithmetic Coding&lt;/strong&gt;, uo, Zongyu and Fu, Jun and Feng, Runsen and Chen, Zhibo &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;amp;arnumber=9401277" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(ICIP 2021) &lt;strong&gt;Graph-Convolution Network for Image Compression&lt;/strong&gt;, Yang, Chunhui and Ma, Yi and Yang, Jiayu and Liu, Shiyi and Wang, Ronggang &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9506704" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(PMLR 2021) &lt;strong&gt;Soft then hard: Rethinking the quantization in neural image compression&lt;/strong&gt;, Z Guo，Z Zhang，R Feng，Z Chen &lt;a class="link" href="http://proceedings.mlr.press/v139/guo21c/guo21c.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Learned Image Compression for Machine Perception&lt;/strong&gt;, Codevilla, Felipe and Simard, Jean Gabriel and Goroshin, Ross and Pal, Chris &lt;a class="link" href="https://arxiv.org/pdf/2111.02249.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (Perceptual)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Substitutional Neural Image Compression&lt;/strong&gt;, Wang, Xiao and Jiang, Wei and Wang, Wei and Liu, Shan and Kulis, Brian and Chin, Peter &lt;a class="link" href="https://arxiv.org/pdf/2105.07512.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;DPICT: Deep Progressive Image Compression Using Trit-Planes&lt;/strong&gt;, Lee, Jae-Han and Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su &lt;a class="link" href="https://arxiv.org/pdf/2112.06334.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Implicit Neural Representations for Image Compression&lt;/strong&gt;, Str{&amp;quot;u}mpler, Yannick and Postels, Janis and Yang, Ren and Van Gool, Luc and Tombari, Federico &lt;a class="link" href="https://arxiv.org/pdf/2112.04267.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;A Novel Framework for Image-to-image Translation and Image Compression&lt;/strong&gt;, Yang, Fei and Wang, Yaxing and Herranz, Luis and Cheng, Yongmei and Mozerov, Mikhail &lt;a class="link" href="https://arxiv.org/pdf/2111.13105.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (I2I)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Semantic-assisted image compression&lt;/strong&gt;, Sun, Qizheng and Guo, Caili and Yang, Yang and Chen, Jiujiu and Xue, Xijun &lt;a class="link" href="https://arxiv.org/pdf/2201.12599.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;End-to-End Learned Image Compression with Quantized Weights and Activations&lt;/strong&gt;, Sun, Heming and Yu, Lu and Katto, Jiro &lt;a class="link" href="https://arxiv.org/pdf/2111.09348.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;End-to-End Image Compression with Probabilistic Decoding&lt;/strong&gt;, Ma, Haichuan and Liu, Dong and Dong, Cunhui and Li, Li and Wu, Feng &lt;a class="link" href="https://arxiv.org/pdf/2109.14837.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Towards End-to-End Image Compression and Analysis with Transformers&lt;/strong&gt;, Bai, Yuanchao and Yang, Xu and Liu, Xianming and Jiang, Junjun and Wang, Yaowei and Ji, Xiangyang and Gao, Wen &lt;a class="link" href="https://arxiv.org/pdf/2112.09300.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;A Cross Channel Context Model for Latents in Deep Image Compression&lt;/strong&gt;, Ma, Changyue and Wang, Zhao and Liao, Ruling and Ye, Yan &lt;a class="link" href="https://arxiv.org/pdf/2103.02884.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Online Meta Adaptation for Variable-Rate Learned Image Compression&lt;/strong&gt;, Wei Jiang, Wei Wang, Songnan Li, Shan Liu &lt;a class="link" href="https://arxiv.org/abs/2111.08256" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt; (VR)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(arXiv preprint 2021) &lt;strong&gt;Transformer-based Image Compression&lt;/strong&gt;, Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, Zhan Ma [&lt;a class="link" href="https://arxiv.org/abs/2111.06707" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="2020"&gt;✔2020
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;[arXiv preprint 2020] &lt;strong&gt;Lossless Image Compression through Super-Resolution&lt;/strong&gt;, Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl [&lt;a class="link" href="https://arxiv.org/abs/2004.02872" target="_blank" rel="noopener"
&gt;paper&lt;/a&gt;]&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="2019"&gt;✔2019
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;(PCS 19) &lt;strong&gt;A novel deep progressive image compression framework&lt;/strong&gt;, Cai, Chunlei and Chen, Li and Zhang, Xiaoyun and Lu, Guo and Gao, Zhiyong. &lt;a class="link" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8954500" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;(CVPR 19) &lt;strong&gt;Learning image and video compression through spatial-temporal energy compaction&lt;/strong&gt;, Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, Jiro. &lt;a class="link" href="https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_Learning_Image_and_Video_Compression_Through_Spatial-Temporal_Energy_Compaction_CVPR_2019_paper.pdf" target="_blank" rel="noopener"
&gt;[paper]&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="2018"&gt;✔2018
&lt;/h2&gt;&lt;hr&gt;</description></item><item><title>Awesome LLM Apps</title><link>https://blog.zwzhang.com/en/p/awesome-llm-apps/</link><pubDate>Tue, 10 Feb 2026 18:34:25 -0800</pubDate><guid>https://blog.zwzhang.com/en/p/awesome-llm-apps/</guid><description>&lt;h1 id="-awesome-llm-apps"&gt;🌟 Awesome LLM Apps
&lt;/h1&gt;&lt;h2 id="introduction"&gt;Introduction
&lt;/h2&gt;&lt;p&gt;A curated collection of &lt;strong&gt;Awesome LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more.&lt;/strong&gt; This repository features LLM apps that use models from &lt;img src="https://cdn.simpleicons.org/openai" alt="openai logo" width="25" height="15"&gt;&lt;strong&gt;OpenAI&lt;/strong&gt; , &lt;img src="https://cdn.simpleicons.org/anthropic" alt="anthropic logo" width="25" height="15"&gt;&lt;strong&gt;Anthropic&lt;/strong&gt;, &lt;img src="https://cdn.simpleicons.org/googlegemini" alt="google logo" width="25" height="18"&gt;&lt;strong&gt;Google&lt;/strong&gt;, &lt;img src="https://cdn.simpleicons.org/x" alt="X logo" width="25" height="15"&gt;&lt;strong&gt;xAI&lt;/strong&gt; and open-source models like &lt;img src="https://cdn.simpleicons.org/alibabacloud" alt="alibaba logo" width="25" height="15"&gt;&lt;strong&gt;Qwen&lt;/strong&gt; or &lt;img src="https://cdn.simpleicons.org/meta" alt="meta logo" width="25" height="15"&gt;&lt;strong&gt;Llama&lt;/strong&gt; that you can run locally on your computer.&lt;/p&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/Shubhamsaboo/awesome-llm-apps" target="_blank" rel="noopener"
&gt;GitHub-Awesome LLM Apps&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a class="link" href="https://www.theunwindai.com/" target="_blank" rel="noopener"
&gt;Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="-why-awesome-llm-apps"&gt;🤔 Why Awesome LLM Apps?
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.&lt;/li&gt;
&lt;li&gt;🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP &amp;amp; RAG.&lt;/li&gt;
&lt;li&gt;🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="-featured-ai-projects"&gt;📂 Featured AI Projects
&lt;/h2&gt;&lt;h3 id="ai-agents"&gt;AI Agents
&lt;/h3&gt;&lt;h3 id="-starter-ai-agents"&gt;🌱 Starter AI Agents
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_blog_to_podcast_agent/" &gt;🎙️ AI Blog to Podcast Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_breakup_recovery_agent/" &gt;❤️‍🩹 AI Breakup Recovery Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_data_analysis_agent/" &gt;📊 AI Data Analysis Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_medical_imaging_agent/" &gt;🩻 AI Medical Imaging Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_meme_generator_agent_browseruse/" &gt;😂 AI Meme Generator Agent (Browser)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_music_generator_agent/" &gt;🎵 AI Music Generator Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/ai_travel_agent/" &gt;🛫 AI Travel Agent (Local &amp;amp; Cloud)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/gemini_multimodal_agent_demo/" &gt;✨ Gemini Multimodal Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/mixture_of_agents/" &gt;🔄 Mixture of Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/xai_finance_agent/" &gt;📊 xAI Finance Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/opeani_research_agent/" &gt;🔍 OpenAI Research Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="starter_ai_agents/web_scrapping_ai_agent/" &gt;🕸️ Web Scraping AI Agent (Local &amp;amp; Cloud SDK)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-advanced-ai-agents"&gt;🚀 Advanced AI Agents
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent" &gt;🏚️ 🍌 AI Home Renovation Agent with Nano Banana Pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_deep_research_agent/" &gt;🔍 AI Deep Research Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_vc_due_diligence_agent_team" &gt;📊 AI VC Due Diligence Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/research_agent_gemini_interaction_api" &gt;🔬 AI Research Planner &amp;amp; Executor (Google Interactions API)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_consultant_agent" &gt;🤝 AI Consultant Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_system_architect_r1/" &gt;🏗️ AI System Architect Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/" &gt;💰 AI Financial Coach Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_movie_production_agent/" &gt;🎬 AI Movie Production Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_investment_agent/" &gt;📈 AI Investment Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/" &gt;🏋️‍♂️ AI Health &amp;amp; Fitness Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent" &gt;🚀 AI Product Launch Intelligence Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_journalist_agent/" &gt;🗞️ AI Journalist Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/" &gt;🧠 AI Mental Wellbeing Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/single_agent_apps/ai_meeting_agent/" &gt;📑 AI Meeting Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/ai_Self-Evolving_agent/" &gt;🧬 AI Self-Evolving Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_sales_intelligence_agent_team" &gt;👨🏻‍💼 AI Sales Intelligence Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/" &gt;🎧 AI Social Media News and Podcast Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/accomplish-ai/openwork" target="_blank" rel="noopener"
&gt;🌐 Openwork - Open Browser Automation Agent&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-autonomous-game-playing-agents"&gt;🎮 Autonomous Game Playing Agents
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/" &gt;🎮 AI 3D Pygame Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/" &gt;♜ AI Chess Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/" &gt;🎲 AI Tic-Tac-Toe Agent&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-multi-agent-teams"&gt;🤝 Multi-agent Teams
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_competitor_intelligence_agent_team/" &gt;🧲 AI Competitor Intelligence Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_finance_agent_team/" &gt;💲 AI Finance Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_game_design_agent_team/" &gt;🎨 AI Game Design Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_legal_agent_team/" &gt;👨‍⚖️ AI Legal Agent Team (Cloud &amp;amp; Local)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_recruitment_agent_team/" &gt;💼 AI Recruitment Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_real_estate_agent_team" &gt;🏠 AI Real Estate Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_services_agency/" &gt;👨‍💼 AI Services Agency (CrewAI)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/ai_teaching_agent_team/" &gt;👨‍🏫 AI Teaching Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_coding_agent_team/" &gt;💻 Multimodal Coding Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_design_agent_team/" &gt;✨ Multimodal Design Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_uiux_feedback_agent_team/" &gt;🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://blog.zwzhang.com/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/" &gt;🌏 AI Travel Planner Agent Team&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-voice-ai-agents"&gt;🗣️ Voice AI Agents
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="voice_ai_agents/ai_audio_tour_agent/" &gt;🗣️ AI Audio Tour Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="voice_ai_agents/customer_support_voice_agent/" &gt;📞 Customer Support Voice Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="voice_ai_agents/voice_rag_openaisdk/" &gt;🔊 Voice RAG Agent (OpenAI SDK)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/akshayaggarwal99/jarvis-ai-assistant" target="_blank" rel="noopener"
&gt;🎙️ OpenSource Voice Dictation Agent (like Wispr Flow&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="mcp-ai-agents"&gt;&lt;img src="https://cdn.simpleicons.org/modelcontextprotocol" alt="mcp logo" width="25" height="20"&gt; MCP AI Agents
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="mcp_ai_agents/browser_mcp_agent/" &gt;♾️ Browser MCP Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="mcp_ai_agents/github_mcp_agent/" &gt;🐙 GitHub MCP Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="mcp_ai_agents/notion_mcp_agent" &gt;📑 Notion MCP Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="mcp_ai_agents/ai_travel_planner_mcp_agent_team" &gt;🌍 AI Travel Planner MCP Agent&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-rag-retrieval-augmented-generation"&gt;📀 RAG (Retrieval Augmented Generation)
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/agentic_rag_embedding_gemma" &gt;🔥 Agentic RAG with Embedding Gemma&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/agentic_rag_with_reasoning/" &gt;🧐 Agentic RAG with Reasoning&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/ai_blog_search/" &gt;📰 AI Blog Search (RAG)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/autonomous_rag/" &gt;🔍 Autonomous RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/contextualai_rag_agent/" &gt;🔄 Contextual AI RAG Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/corrective_rag/" &gt;🔄 Corrective RAG (CRAG)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/deepseek_local_rag_agent/" &gt;🐋 Deepseek Local RAG Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/gemini_agentic_rag/" &gt;🤔 Gemini Agentic RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/hybrid_search_rag/" &gt;👀 Hybrid Search RAG (Cloud)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/llama3.1_local_rag/" &gt;🔄 Llama 3.1 Local RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/local_hybrid_search_rag/" &gt;🖥️ Local Hybrid Search RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/local_rag_agent/" &gt;🦙 Local RAG Agent&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/rag-as-a-service/" &gt;🧩 RAG-as-a-Service&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/rag_agent_cohere/" &gt;✨ RAG Agent with Cohere&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/rag_chain/" &gt;⛓️ Basic RAG Chain&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/rag_database_routing/" &gt;📠 RAG with Database Routing&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="rag_tutorials/vision_rag/" &gt;🖼️ Vision RAG&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-llm-apps-with-memory-tutorials"&gt;💾 LLM Apps with Memory Tutorials
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/" &gt;💾 AI ArXiv Agent with Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/" &gt;🛩️ AI Travel Agent with Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/" &gt;💬 Llama3 Stateful Chat&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/" &gt;📝 LLM App with Personalized Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/" &gt;🗄️ Local ChatGPT Clone with Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/" &gt;🧠 Multi-LLM Application with Shared Memory&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-chat-with-x-tutorials"&gt;💬 Chat with X Tutorials
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/chat_with_X_tutorials/chat_with_github/" &gt;💬 Chat with GitHub (GPT &amp;amp; Llama3)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/" &gt;📨 Chat with Gmail&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/" &gt;📄 Chat with PDF (GPT &amp;amp; Llama3)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/" &gt;📚 Chat with Research Papers (ArXiv) (GPT &amp;amp; Llama3)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/" &gt;📝 Chat with Substack&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/" &gt;📽️ Chat with YouTube Videos&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-llm-optimization-tools"&gt;🎯 LLM Optimization Tools
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/" &gt;🎯 Toonify Token Optimization&lt;/a&gt; - Reduce LLM API costs by 30-60% using TOON format&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="advanced_llm_apps/llm_optimization_tools/headroom_context_optimization/" &gt;🧠 Headroom Context Optimization&lt;/a&gt; - Reduce LLM API costs by 50-90% through intelligent context compression for AI agents (includes persistent memory &amp;amp; MCP support)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-llm-fine-tuning-tutorials"&gt;🔧 LLM Fine-tuning Tutorials
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;img src="https://cdn.simpleicons.org/google" alt="google logo" width="20" height="15"&gt; &lt;a class="link" href="advanced_llm_apps/llm_finetuning_tutorials/gemma3_finetuning/" &gt;Gemma 3 Fine-tuning&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;img src="https://cdn.simpleicons.org/meta" alt="meta logo" width="25" height="15"&gt; &lt;a class="link" href="advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/" &gt;Llama 3.2 Fine-tuning&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="-ai-agent-framework-crash-course"&gt;🧑‍🏫 AI Agent Framework Crash Course
&lt;/h3&gt;&lt;p&gt;&lt;img src="https://cdn.simpleicons.org/google" alt="google logo" width="25" height="15"&gt; &lt;a class="link" href="ai_agent_framework_crash_course/google_adk_crash_course/" &gt;Google ADK Crash Course&lt;/a&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Starter agent; model‑agnostic (OpenAI, Claude)&lt;/li&gt;
&lt;li&gt;Structured outputs (Pydantic)&lt;/li&gt;
&lt;li&gt;Tools: built‑in, function, third‑party, MCP tools&lt;/li&gt;
&lt;li&gt;Memory; callbacks; Plugins&lt;/li&gt;
&lt;li&gt;Simple multi‑agent; Multi‑agent patterns&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;img src="https://cdn.simpleicons.org/openai" alt="openai logo" width="25" height="15"&gt; &lt;a class="link" href="ai_agent_framework_crash_course/openai_sdk_crash_course/" &gt;OpenAI Agents SDK Crash Course&lt;/a&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Starter agent; function calling; structured outputs&lt;/li&gt;
&lt;li&gt;Tools: built‑in, function, third‑party integrations&lt;/li&gt;
&lt;li&gt;Memory; callbacks; evaluation&lt;/li&gt;
&lt;li&gt;Multi‑agent patterns; agent handoffs&lt;/li&gt;
&lt;li&gt;Swarm orchestration; routing logic&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="-getting-started"&gt;🚀 Getting Started
&lt;/h2&gt;&lt;ol&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Clone the repository&lt;/strong&gt;&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Navigate to the desired project directory&lt;/strong&gt;&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nb"&gt;cd&lt;/span&gt; awesome-llm-apps/starter_ai_agents/ai_travel_agent
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Install the required dependencies&lt;/strong&gt;&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;pip install -r requirements.txt
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Follow the project-specific instructions&lt;/strong&gt; in each project&amp;rsquo;s &lt;code&gt;README.md&lt;/code&gt; file to set up and run the app.&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;</description></item><item><title>New Era ERP System-ERPNext</title><link>https://blog.zwzhang.com/en/p/new-era-erp-system-erpnext/</link><pubDate>Mon, 02 Feb 2026 18:34:25 -0800</pubDate><guid>https://blog.zwzhang.com/en/p/new-era-erp-system-erpnext/</guid><description>&lt;h1 id="new-era-erp-system-erpnext"&gt;New Era ERP System-ERPNext
&lt;/h1&gt;&lt;h2 id="introduction"&gt;Introduction
&lt;/h2&gt;&lt;p&gt;&lt;a class="link" href="https://github.com/frappe/erpnext" target="_blank" rel="noopener"
&gt;100% Open-Source ERP system to help you run your business.&lt;/a&gt;&lt;/p&gt;
&lt;h3 id="motivation"&gt;Motivation
&lt;/h3&gt;&lt;p&gt;Running a business is a complex task - handling invoices, tracking stock, managing personnel and even more ad-hoc activities. In a market where software is sold separately to manage each of these tasks, ERPNext does all of the above and more, for free.&lt;/p&gt;
&lt;h3 id="key-features"&gt;Key Features
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Accounting&lt;/strong&gt;: All the tools you need to manage cash flow in one place, right from recording transactions to summarizing and analyzing financial reports.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Order Management&lt;/strong&gt;: Track inventory levels, replenish stock, and manage sales orders, customers, suppliers, shipments, deliverables, and order fulfillment.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Manufacturing&lt;/strong&gt;: Simplifies the production cycle, helps track material consumption, exhibits capacity planning, handles subcontracting, and more!&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Asset Management&lt;/strong&gt;: From purchase to perishment, IT infrastructure to equipment. Cover every branch of your organization, all in one centralized system.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Projects&lt;/strong&gt;: Delivery both internal and external Projects on time, budget and Profitability. Track tasks, timesheets, and issues by project.&lt;/li&gt;
&lt;/ul&gt;
&lt;details open&gt;
&lt;summary&gt;More&lt;/summary&gt;
&lt;img src="https://erpnext.com/files/v16_bom.png"/&gt;
&lt;img src="https://erpnext.com/files/v16_stock_summary.png"/&gt;
&lt;img src="https://erpnext.com/files/v16_job_card.png"/&gt;
&lt;img src="https://erpnext.com/files/v16_tasks.png"/&gt;
&lt;/details&gt;
&lt;h3 id="under-the-hood"&gt;Under the Hood
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/frappe/frappe" target="_blank" rel="noopener"
&gt;&lt;strong&gt;Frappe Framework&lt;/strong&gt;&lt;/a&gt;: A full-stack web application framework written in Python and Javascript. The framework provides a robust foundation for building web applications, including a database abstraction layer, user authentication, and a REST API.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/frappe/frappe-ui" target="_blank" rel="noopener"
&gt;&lt;strong&gt;Frappe UI&lt;/strong&gt;&lt;/a&gt;: A Vue-based UI library, to provide a modern user interface. The Frappe UI library provides a variety of components that can be used to build single-page applications on top of the Frappe Framework.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="production-setup"&gt;Production Setup
&lt;/h2&gt;&lt;h3 id="managed-hosting"&gt;Managed Hosting
&lt;/h3&gt;&lt;p&gt;You can try &lt;a class="link" href="https://frappecloud.com" target="_blank" rel="noopener"
&gt;Frappe Cloud&lt;/a&gt;, a simple, user-friendly and sophisticated &lt;a class="link" href="https://github.com/frappe/press" target="_blank" rel="noopener"
&gt;open-source&lt;/a&gt; platform to host Frappe applications with peace of mind.&lt;/p&gt;
&lt;p&gt;It takes care of installation, setup, upgrades, monitoring, maintenance and support of your Frappe deployments. It is a fully featured developer platform with an ability to manage and control multiple Frappe deployments.&lt;/p&gt;
&lt;div&gt;
&lt;a href="https://erpnext-demo.frappe.cloud/app/home" target="_blank"&gt;
&lt;picture&gt;
&lt;source media="(prefers-color-scheme: dark)" srcset="https://frappe.io/files/try-on-fc-white.png"&gt;
&lt;img src="https://frappe.io/files/try-on-fc-black.png" alt="Try on Frappe Cloud" height="28" /&gt;
&lt;/picture&gt;
&lt;/a&gt;
&lt;/div&gt;
&lt;h3 id="self-hosted"&gt;Self-Hosted
&lt;/h3&gt;&lt;h4 id="docker"&gt;Docker
&lt;/h4&gt;&lt;p&gt;Prerequisites: docker, docker-compose, git. Refer &lt;a class="link" href="https://docs.docker.com" target="_blank" rel="noopener"
&gt;Docker Documentation&lt;/a&gt; for more details on Docker setup.&lt;/p&gt;
&lt;p&gt;Run following commands:&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;span class="lnt"&gt;2
&lt;/span&gt;&lt;span class="lnt"&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;git clone https://github.com/frappe/frappe_docker
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;cd frappe_docker
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;docker compose -f pwd.yml up -d
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After a couple of minutes, site should be accessible on your localhost port: 8080. Use below default login credentials to access the site.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Username: Administrator&lt;/li&gt;
&lt;li&gt;Password: admin&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;See &lt;a class="link" href="https://github.com/frappe/frappe_docker?tab=readme-ov-file#to-run-on-arm64-architecture-follow-this-instructions" target="_blank" rel="noopener"
&gt;Frappe Docker&lt;/a&gt; for ARM based docker setup.&lt;/p&gt;
&lt;h2 id="development-setup"&gt;Development Setup
&lt;/h2&gt;&lt;h3 id="manual-install"&gt;Manual Install
&lt;/h3&gt;&lt;p&gt;The Easy Way: our install script for bench will install all dependencies (e.g. MariaDB). See &lt;a class="link" href="https://github.com/frappe/bench" target="_blank" rel="noopener"
&gt;https://github.com/frappe/bench&lt;/a&gt; for more details.&lt;/p&gt;
&lt;p&gt;New passwords will be created for the ERPNext &amp;ldquo;Administrator&amp;rdquo; user, the MariaDB root user, and the frappe user (the script displays the passwords and saves them to ~/frappe_passwords.txt).&lt;/p&gt;
&lt;h3 id="local"&gt;Local
&lt;/h3&gt;&lt;p&gt;To setup the repository locally follow the steps mentioned below:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;
&lt;p&gt;Setup bench by following the &lt;a class="link" href="https://frappeframework.com/docs/user/en/installation" target="_blank" rel="noopener"
&gt;Installation Steps&lt;/a&gt; and start the server&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;bench start
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;In a separate terminal window, run the following commands:&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;span class="lnt"&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;# Create a new site
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;bench new-site erpnext.localhost
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Get the ERPNext app and install it&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;span class="lnt"&gt;2
&lt;/span&gt;&lt;span class="lnt"&gt;3
&lt;/span&gt;&lt;span class="lnt"&gt;4
&lt;/span&gt;&lt;span class="lnt"&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;# Get the ERPNext app
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;bench get-app https://github.com/frappe/erpnext
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;# Install the app
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;bench --site erpnext.localhost install-app erpnext
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Open the URL &lt;code&gt;http://erpnext.localhost:8000/app&lt;/code&gt; in your browser, you should see the app running&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id="learning-and-community"&gt;Learning and community
&lt;/h2&gt;&lt;ol&gt;
&lt;li&gt;&lt;a class="link" href="https://school.frappe.io" target="_blank" rel="noopener"
&gt;Frappe School&lt;/a&gt; - Learn Frappe Framework and ERPNext from the various courses by the maintainers or from the community.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://docs.erpnext.com/" target="_blank" rel="noopener"
&gt;Official documentation&lt;/a&gt; - Extensive documentation for ERPNext.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://discuss.frappe.io/c/erpnext/6" target="_blank" rel="noopener"
&gt;Discussion Forum&lt;/a&gt; - Engage with community of ERPNext users and service providers.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://erpnext_public.t.me" target="_blank" rel="noopener"
&gt;Telegram Group&lt;/a&gt; - Get instant help from huge community of users.&lt;/li&gt;
&lt;/ol&gt;</description></item><item><title>500+ AI Agent Projects / UseCases</title><link>https://blog.zwzhang.com/en/p/500-ai-agent-projects-/-usecases/</link><pubDate>Mon, 02 Feb 2026 17:34:25 -0800</pubDate><guid>https://blog.zwzhang.com/en/p/500-ai-agent-projects-/-usecases/</guid><description>&lt;h1 id="-500-ai-agent-projects--usecases"&gt;🌟 500+ AI Agent Projects / UseCases
&lt;/h1&gt;&lt;p&gt;&lt;img src="https://cdn.jsdelivr.net/gh/Hanguangwu/MyImageBed01/img/20260202175639846.png"
loading="lazy"
&gt;&lt;/p&gt;
&lt;p&gt;A curated collection of AI agent use cases across industries, showcasing practical applications and linking to open-source projects for implementation. Explore how AI agents are transforming industries like healthcare, finance, education, and more! 🤖✨&lt;/p&gt;
&lt;p&gt;&lt;a class="link" href="https://github.com/ashishpatel26/500-AI-Agents-Projects" target="_blank" rel="noopener"
&gt;GitHub-Repo&lt;/a&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="-introduction"&gt;🧠 Introduction
&lt;/h2&gt;&lt;p&gt;Artificial Intelligence (AI) agents are revolutionizing the way industries operate. From personalized learning to financial trading bots, AI agents bring efficiency, innovation, and scalability. This repository provides:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A categorized list of industries where AI agents are making an impact.&lt;/li&gt;
&lt;li&gt;Detailed use cases with links to open-source projects for implementation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Whether you&amp;rsquo;re a developer, researcher, or business enthusiast, this repository is your go-to resource for AI agent inspiration and learning.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="selected-usecase-by-myself"&gt;Selected Usecase By Myself
&lt;/h2&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;Use Case&lt;/th&gt;
&lt;th&gt;Industry&lt;/th&gt;
&lt;th&gt;Description&lt;/th&gt;
&lt;th&gt;Code Github&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;AI Health Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Healthcare&lt;/td&gt;
&lt;td&gt;Diagnoses and monitors diseases using patient data.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/ahmadvh/AI-Agents-for-Medical-Diagnostics.git" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Automated Trading Bot&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Finance&lt;/td&gt;
&lt;td&gt;Automates stock trading with real-time market analysis.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/MingyuJ666/Stockagent.git" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Content Personalization Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Entertainment&lt;/td&gt;
&lt;td&gt;Recommends personalized media based on preferences.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crosleythomas/MirrorGPT" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Legal Document Review Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Legal&lt;/td&gt;
&lt;td&gt;Automates document review and highlights key clauses.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/firica/legalai" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Recruitment Recommendation Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Human Resources&lt;/td&gt;
&lt;td&gt;Suggests best-fit candidates for job openings.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/sentient-engineering/jobber" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Virtual Travel Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Hospitality&lt;/td&gt;
&lt;td&gt;Plans travel itineraries based on preferences.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/nirbar1985/ai-travel-agent" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;AI Game Companion Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Gaming&lt;/td&gt;
&lt;td&gt;Enhances player experience with real-time assistance.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/onjas-buidl/LLM-agent-game" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/465962dd14abb8181b8d1a3dbaf186be171bc3c5338d347e03b863e17980be8b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f64652d4769744875622d626c61636b3f6c6f676f3d676974687562"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🌐 Landing Page Generator&lt;/td&gt;
&lt;td&gt;💻 Web Development&lt;/td&gt;
&lt;td&gt;Automates the creation of landing pages for websites, facilitating web development tasks.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/landing_page_generator" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🎮 Game Builder Crew&lt;/td&gt;
&lt;td&gt;🎮 Game Development&lt;/td&gt;
&lt;td&gt;Assists in the development of games by automating certain aspects of game creation.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/game-builder-crew" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;💹 Stock Analysis Tool&lt;/td&gt;
&lt;td&gt;💰 Finance&lt;/td&gt;
&lt;td&gt;Provides tools for analyzing stock market data to assist in financial decision-making.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🗺️ Trip Planner&lt;/td&gt;
&lt;td&gt;✈️ Travel&lt;/td&gt;
&lt;td&gt;Assists in planning trips by organizing itineraries and managing travel details.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🎁 Surprise Trip Planner&lt;/td&gt;
&lt;td&gt;✈️ Travel&lt;/td&gt;
&lt;td&gt;Plans surprise trips by selecting destinations and activities based on user preferences.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/surprise_trip" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📚 Write a Book with Flows&lt;/td&gt;
&lt;td&gt;✍️ Creative Writing&lt;/td&gt;
&lt;td&gt;Assists authors in writing books by providing structured workflows and writing assistance.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/flows/write_a_book_with_flows" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🎬 Screenplay Writer&lt;/td&gt;
&lt;td&gt;✍️ Creative Writing&lt;/td&gt;
&lt;td&gt;Aids in writing screenplays by offering templates and guidance for script development.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/screenplay_writer" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;✅ Markdown Validator&lt;/td&gt;
&lt;td&gt;📄 Documentation&lt;/td&gt;
&lt;td&gt;Validates Markdown files to ensure proper formatting and adherence to standards.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/markdown_validator" target="_blank" rel="noopener"
&gt;&lt;img src="https://camo.githubusercontent.com/78ef5623d7361e74e909b90ea5f4af9d939df5307c2896284062b70b0762bdbe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4769744875622d5265706f7369746f72792d626c7565"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id="-industry-usecase-mindmap"&gt;🏭 Industry UseCase MindMap
&lt;/h2&gt;&lt;p&gt;&lt;img src="https://cdn.jsdelivr.net/gh/Hanguangwu/MyImageBed01/img/20260202175656635.png"
loading="lazy"
&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="-use-case-table"&gt;🧩 Use Case Table
&lt;/h2&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;Use Case&lt;/th&gt;
&lt;th&gt;Industry&lt;/th&gt;
&lt;th&gt;Description&lt;/th&gt;
&lt;th&gt;Code Github&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;HIA (Health Insights Agent)&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Healthcare&lt;/td&gt;
&lt;td&gt;analyses medical reports and provide health insights.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/harshhh28/hia.git" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;AI Health Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Healthcare&lt;/td&gt;
&lt;td&gt;Diagnoses and monitors diseases using patient data.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/ahmadvh/AI-Agents-for-Medical-Diagnostics.git" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Automated Trading Bot&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Finance&lt;/td&gt;
&lt;td&gt;Automates stock trading with real-time market analysis.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/MingyuJ666/Stockagent.git" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Virtual AI Tutor&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Education&lt;/td&gt;
&lt;td&gt;Provides personalized education tailored to users.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/hqanhh/EduGPT.git" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;24/7 AI Chatbot&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Customer Service&lt;/td&gt;
&lt;td&gt;Handles customer queries around the clock.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/customer_support_agent_langgraph.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Product Recommendation Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Retail&lt;/td&gt;
&lt;td&gt;Suggests products based on user preferences and history.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/microsoft/RecAI" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Self-Driving Delivery Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Transportation&lt;/td&gt;
&lt;td&gt;Optimizes routes and autonomously delivers packages.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/sled-group/driVLMe" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Factory Process Monitoring Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Manufacturing&lt;/td&gt;
&lt;td&gt;Monitors production lines and ensures quality control.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/yuchenxia/llm4ias" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Property Pricing Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Real Estate&lt;/td&gt;
&lt;td&gt;Analyzes market trends to determine property prices.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/AleksNeStu/ai-real-estate-assistant" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Smart Farming Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Agriculture&lt;/td&gt;
&lt;td&gt;Provides insights on crop health and yield predictions.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/mohammed97ashraf/LLM_Agri_Bot" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Energy Demand Forecasting Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Energy&lt;/td&gt;
&lt;td&gt;Predicts energy usage to optimize grid management.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/yecchen/MIRAI" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Content Personalization Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Entertainment&lt;/td&gt;
&lt;td&gt;Recommends personalized media based on preferences.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crosleythomas/MirrorGPT" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Legal Document Review Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Legal&lt;/td&gt;
&lt;td&gt;Automates document review and highlights key clauses.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/firica/legalai" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Recruitment Recommendation Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Human Resources&lt;/td&gt;
&lt;td&gt;Suggests best-fit candidates for job openings.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/sentient-engineering/jobber" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Virtual Travel Assistant&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Hospitality&lt;/td&gt;
&lt;td&gt;Plans travel itineraries based on preferences.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/nirbar1985/ai-travel-agent" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;AI Game Companion Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Gaming&lt;/td&gt;
&lt;td&gt;Enhances player experience with real-time assistance.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/onjas-buidl/LLM-agent-game" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Real-Time Threat Detection Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Cybersecurity&lt;/td&gt;
&lt;td&gt;Identifies potential threats and mitigates attacks.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/NVISOsecurity/cyber-security-llm-agents" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;E-commerce Personal Shopper Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;E-commerce&lt;/td&gt;
&lt;td&gt;Helps customers find products they’ll love.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/Hoanganhvu123/ShoppingGPT" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Logistics Optimization Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Supply Chain&lt;/td&gt;
&lt;td&gt;Plans efficient delivery routes and manages inventory.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/microsoft/OptiGuide" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Vibe Hacking Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Cybersecurity&lt;/td&gt;
&lt;td&gt;Autonomous Multi-Agent Based Red Team Testing Service.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/PurpleAILAB/Decepticon" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;MediSuite-Ai-Agent&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Health insurance&lt;/td&gt;
&lt;td&gt;A medical ai agent that helps automating the process of hospitals / insurance claiming workflow.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/MahmoudRabea13/MediSuite-Ai-Agent" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;strong&gt;Lina-Egyptian-Medical-Chatbot&lt;/strong&gt;&lt;/td&gt;
&lt;td&gt;Health insurance&lt;/td&gt;
&lt;td&gt;A medical ai agent that helps automating the process of hospitals / insurance claiming workflow.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/MahmoudRabea13/MediSuite-Ai-Agent" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/Code-GitHub-black?logo=github"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id="framework-wise-usecases"&gt;Framework wise Usecases
&lt;/h2&gt;&lt;hr&gt;
&lt;h3 id="framework-name-crewai"&gt;&lt;strong&gt;Framework Name&lt;/strong&gt;: &lt;strong&gt;CrewAI&lt;/strong&gt;
&lt;/h3&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;Use Case&lt;/th&gt;
&lt;th&gt;Industry&lt;/th&gt;
&lt;th&gt;Description&lt;/th&gt;
&lt;th&gt;GitHub&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;📧 Email Auto Responder Flow&lt;/td&gt;
&lt;td&gt;🗣️ Communication&lt;/td&gt;
&lt;td&gt;Automates email responses based on predefined criteria to enhance communication efficiency.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/flows/email_auto_responder_flow" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📝 Meeting Assistant Flow&lt;/td&gt;
&lt;td&gt;🛠️ Productivity&lt;/td&gt;
&lt;td&gt;Assists in organizing and managing meetings, including scheduling and agenda preparation.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/flows/meeting_assistant_flow" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🔄 Self Evaluation Loop Flow&lt;/td&gt;
&lt;td&gt;👥 Human Resources&lt;/td&gt;
&lt;td&gt;Facilitates self-assessment processes within an organization, aiding in performance reviews.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/flows/self_evaluation_loop_flow" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📈 Lead Score Flow&lt;/td&gt;
&lt;td&gt;💼 Sales&lt;/td&gt;
&lt;td&gt;Evaluates and scores potential leads to prioritize outreach in sales strategies.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/flows/lead-score-flow" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📊 Marketing Strategy Generator&lt;/td&gt;
&lt;td&gt;📢 Marketing&lt;/td&gt;
&lt;td&gt;Develops marketing strategies by analyzing market trends and audience data.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/marketing_strategy" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📝 Job Posting Generator&lt;/td&gt;
&lt;td&gt;🧑‍💼 Recruitment&lt;/td&gt;
&lt;td&gt;Creates job postings by analyzing job requirements, aiding in recruitment processes.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/job-posting" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🔄 Recruitment Workflow&lt;/td&gt;
&lt;td&gt;🧑‍💼 Recruitment&lt;/td&gt;
&lt;td&gt;Streamlines the recruitment process by automating various tasks involved in hiring.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/recruitment" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🔍 Match Profile to Positions&lt;/td&gt;
&lt;td&gt;🧑‍💼 Recruitment&lt;/td&gt;
&lt;td&gt;Matches candidate profiles to suitable job positions to enhance recruitment efficiency.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/match_profile_to_positions" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📸 Instagram Post Generator&lt;/td&gt;
&lt;td&gt;📱 Social Media&lt;/td&gt;
&lt;td&gt;Generates and schedules Instagram posts automatically, streamlining social media management.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/instagram_post" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🌐 Landing Page Generator&lt;/td&gt;
&lt;td&gt;💻 Web Development&lt;/td&gt;
&lt;td&gt;Automates the creation of landing pages for websites, facilitating web development tasks.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/landing_page_generator" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🎮 Game Builder Crew&lt;/td&gt;
&lt;td&gt;🎮 Game Development&lt;/td&gt;
&lt;td&gt;Assists in the development of games by automating certain aspects of game creation.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/game-builder-crew" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;💹 Stock Analysis Tool&lt;/td&gt;
&lt;td&gt;💰 Finance&lt;/td&gt;
&lt;td&gt;Provides tools for analyzing stock market data to assist in financial decision-making.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🗺️ Trip Planner&lt;/td&gt;
&lt;td&gt;✈️ Travel&lt;/td&gt;
&lt;td&gt;Assists in planning trips by organizing itineraries and managing travel details.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🎁 Surprise Trip Planner&lt;/td&gt;
&lt;td&gt;✈️ Travel&lt;/td&gt;
&lt;td&gt;Plans surprise trips by selecting destinations and activities based on user preferences.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/surprise_trip" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;📚 Write a Book with Flows&lt;/td&gt;
&lt;td&gt;✍️ Creative Writing&lt;/td&gt;
&lt;td&gt;Assists authors in writing books by providing structured workflows and writing assistance.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/flows/write_a_book_with_flows" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🎬 Screenplay Writer&lt;/td&gt;
&lt;td&gt;✍️ Creative Writing&lt;/td&gt;
&lt;td&gt;Aids in writing screenplays by offering templates and guidance for script development.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/screenplay_writer" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;✅ Markdown Validator&lt;/td&gt;
&lt;td&gt;📄 Documentation&lt;/td&gt;
&lt;td&gt;Validates Markdown files to ensure proper formatting and adherence to standards.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/markdown_validator" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🧠 Meta Quest Knowledge&lt;/td&gt;
&lt;td&gt;📚 Knowledge Management&lt;/td&gt;
&lt;td&gt;Manages and organizes knowledge related to Meta Quest, facilitating information retrieval.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/meta_quest_knowledge" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🤖 NVIDIA Models Integration&lt;/td&gt;
&lt;td&gt;🤖 AI Integration&lt;/td&gt;
&lt;td&gt;Integrates NVIDIA AI models into workflows to enhance computational capabilities.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/integrations/nvidia_models" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🗂️ Prep for a Meeting&lt;/td&gt;
&lt;td&gt;🛠️ Productivity&lt;/td&gt;
&lt;td&gt;Assists in preparing for meetings by organizing materials and setting agendas.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/prep-for-a-meeting" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🛠️Starter Template&lt;/td&gt;
&lt;td&gt;🛠️ Development&lt;/td&gt;
&lt;td&gt;Provides a starter template for new projects to streamline the setup process.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/crews/starter_template" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🔗CrewAI + LangGraph Integration&lt;/td&gt;
&lt;td&gt;🤖 AI Integration&lt;/td&gt;
&lt;td&gt;Demonstrates integration between CrewAI and LangGraph for enhanced workflow automation.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://github.com/crewAIInc/crewAI-examples/tree/main/integrations/CrewAI-LangGraph" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/GitHub-Repository-blue"
loading="lazy"
alt="GitHub"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="framework-name-autogen"&gt;&lt;strong&gt;Framework Name&lt;/strong&gt;: &lt;strong&gt;Autogen&lt;/strong&gt;
&lt;/h3&gt;&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Code Generation, Execution, and Debugging&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;Use Case&lt;/th&gt;
&lt;th&gt;Industry&lt;/th&gt;
&lt;th&gt;Description&lt;/th&gt;
&lt;th&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;🤖 Automated Task Solving with Code Generation, Execution &amp;amp; Debugging&lt;/td&gt;
&lt;td&gt;💻 Software Development&lt;/td&gt;
&lt;td&gt;Demonstrates automated task-solving by generating, executing, and debugging code.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🧑‍💻 Automated Code Generation and Question Answering with Retrieval Augmented Agents&lt;/td&gt;
&lt;td&gt;💻 Software Development&lt;/td&gt;
&lt;td&gt;Generates code and answers questions using retrieval-augmented methods.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_RetrieveChat" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;🧠 Automated Code Generation and Question Answering with Qdrant-based Retrieval&lt;/td&gt;
&lt;td&gt;💻 Software Development&lt;/td&gt;
&lt;td&gt;Utilizes Qdrant for enhanced retrieval-augmented agent performance.&lt;/td&gt;
&lt;td&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_RetrieveChat_qdrant" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Multi-Agent Collaboration (&amp;gt;3 Agents)&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤝 Automated Task Solving by Group Chat (3 members, 1 manager)&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates group task-solving via multi-agent collaboration.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📊 Automated Data Visualization by Group Chat (3 members, 1 manager)&lt;/td&gt;
&lt;td style="text-align: left"&gt;📊 Data Analysis&lt;/td&gt;
&lt;td style="text-align: left"&gt;Uses multi-agent collaboration to create data visualizations.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_vis" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧩 Automated Complex Task Solving by Group Chat (6 members, 1 manager)&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Solves complex tasks collaboratively with a larger group of agents.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_research" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧑‍💻 Automated Task Solving with Coding &amp;amp; Planning Agents&lt;/td&gt;
&lt;td style="text-align: left"&gt;🛠️ Planning &amp;amp; Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Combines coding and planning agents for solving tasks effectively.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_planning.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📐 Automated Task Solving with Transition Paths Specified in a Graph&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Uses predefined transition paths in a graph for solving tasks.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/docs/notebooks/agentchat_groupchat_finite_state_machine" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Running a Group Chat as an Inner-Monologue via the SocietyOfMindAgent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Cognitive Sciences&lt;/td&gt;
&lt;td style="text-align: left"&gt;Simulates inner-monologue for problem-solving using group chats.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_society_of_mind" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔧 Running a Group Chat with Custom Speaker Selection Function&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Implements a custom function for speaker selection in group chats.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_customized" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Sequential Multi-Agent Chats&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔄 Solving Multiple Tasks in a Sequence of Chats Initiated by a Single Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔄 Workflow Automation&lt;/td&gt;
&lt;td style="text-align: left"&gt;Automates sequential task-solving with a single initiating agent.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_multi_task_chats" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;⏳ Async-solving Multiple Tasks in a Sequence of Chats Initiated by a Single Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔄 Workflow Automation&lt;/td&gt;
&lt;td style="text-align: left"&gt;Handles asynchronous task-solving in a sequence of chats initiated by one agent.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_multi_task_async_chats" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤝 Solving Multiple Tasks in a Sequence of Chats Initiated by Different Agents&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔄 Workflow Automation&lt;/td&gt;
&lt;td style="text-align: left"&gt;Facilitates sequential task-solving with different agents initiating each chat.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchats_sequential_chats" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Nested Chats&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Solving Complex Tasks with Nested Chats&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Problem Solving&lt;/td&gt;
&lt;td style="text-align: left"&gt;Uses nested chats to solve hierarchical and complex problems.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nestedchat" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔄 Solving Complex Tasks with A Sequence of Nested Chats&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Problem Solving&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates sequential task-solving using nested chats.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nested_sequential_chats" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🏭 OptiGuide for Solving a Supply Chain Optimization Problem with Nested Chats&lt;/td&gt;
&lt;td style="text-align: left"&gt;🏭 Supply Chain Optimization&lt;/td&gt;
&lt;td style="text-align: left"&gt;Showcases how to solve supply chain optimization problems using nested chats, a coding agent, and a safeguard agent.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nestedchat_optiguide" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;♟️ Conversational Chess with Nested Chats and Tool Use&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎮 Gaming&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explores the use of nested chats for playing conversational chess with integrated tools.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nested_chats_chess" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Application&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔄 Automated Continual Learning from New Data&lt;/td&gt;
&lt;td style="text-align: left"&gt;📊 Machine Learning&lt;/td&gt;
&lt;td style="text-align: left"&gt;Continuously learns from new data inputs for adaptive AI.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_stream.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🏭 OptiGuide - Coding, Tool Using, Safeguarding &amp;amp; Question Answering for Supply Chain Optimization&lt;/td&gt;
&lt;td style="text-align: left"&gt;🏭 Supply Chain Optimization&lt;/td&gt;
&lt;td style="text-align: left"&gt;Highlights a solution combining coding, tool use, and safeguarding for supply chain optimization.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nestedchat_optiguide" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 AutoAnny - A Discord bot built using AutoGen&lt;/td&gt;
&lt;td style="text-align: left"&gt;💬 Communication Tools&lt;/td&gt;
&lt;td style="text-align: left"&gt;Showcases the development of a Discord bot using AutoGen for enhanced interaction.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/tree/main/samples/apps/auto-anny" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Tools&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🌐 Web Search: Solve Tasks Requiring Web Info&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔍 Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;Searches the web to gather information required for completing tasks.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_web_info.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔧 Use Provided Tools as Functions&lt;/td&gt;
&lt;td style="text-align: left"&gt;🛠️ Tool Integration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates how to use pre-provided tools as callable functions in AutoGen.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_currency_calculator" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔗 Use Tools via Sync and Async Function Calling&lt;/td&gt;
&lt;td style="text-align: left"&gt;🛠️ Tool Integration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Illustrates synchronous and asynchronous tool usage within AutoGen workflows.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧩 Task Solving with Langchain Provided Tools as Functions&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔍 Language Processing&lt;/td&gt;
&lt;td style="text-align: left"&gt;Leverages Langchain tools for task-solving within AutoGen.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_langchain.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📚 RAG: Group Chat with Retrieval Augmented Generation&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Enables group chat with Retrieval Augmented Generation (RAG) to support information sharing.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_RAG" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;⚙️ Function Inception: Update/Remove Functions During Conversations&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔧 Development Tools&lt;/td&gt;
&lt;td style="text-align: left"&gt;Allows AutoGen agents to modify their functions dynamically during conversations.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_inception_function.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔊 Agent Chat with Whisper&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎙️ Audio Processing&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates AI agent capabilities for transcription and translation using Whisper.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_video_transcript_translate_with_whisper" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📏 Constrained Responses via Guidance&lt;/td&gt;
&lt;td style="text-align: left"&gt;💡 Natural Language Processing&lt;/td&gt;
&lt;td style="text-align: left"&gt;Shows how to use guidance to constrain responses generated by agents.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_guidance.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🌍 Browse the Web with Agents&lt;/td&gt;
&lt;td style="text-align: left"&gt;🌐 Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains how to configure agents to browse and retrieve information from the web.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_surfer.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📊 SQL: Natural Language Text to SQL Query Using Spider Benchmark&lt;/td&gt;
&lt;td style="text-align: left"&gt;💾 Database Management&lt;/td&gt;
&lt;td style="text-align: left"&gt;Converts natural language inputs into SQL queries using the Spider benchmark.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_sql_spider.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🕸️ Web Scraping with Apify&lt;/td&gt;
&lt;td style="text-align: left"&gt;🌐 Data Gathering&lt;/td&gt;
&lt;td style="text-align: left"&gt;Illustrates web scraping techniques with Apify using AutoGen.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_webscraping_with_apify" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🕷️ Web Crawling: Crawl Entire Domain with Spider API&lt;/td&gt;
&lt;td style="text-align: left"&gt;🌐 Data Gathering&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains how to crawl entire domains using the Spider API.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_webcrawling_with_spider" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;💻 Write a Software App Task by Task with Specially Designed Functions&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 Software Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Builds a software application step-by-step using designed functions.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Human Development&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;💬 Simple Example in ChatGPT Style&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Conversational AI&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates a simple conversational example in the style of ChatGPT.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/samples/simple_chat.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Example-blue?logo=openai"
loading="lazy"
alt="Example"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 Auto Code Generation, Execution, Debugging and Human Feedback&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 Software Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Showcases code generation, execution, debugging with human feedback integrated into the workflow.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_human_feedback.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;👥 Automated Task Solving with GPT-4 + Multiple Human Users&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Enables task solving with multiple human users collaborating with GPT-4.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_two_users.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔄 Agent Chat with Async Human Inputs&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Conversational AI&lt;/td&gt;
&lt;td style="text-align: left"&gt;Supports asynchronous human input during agent conversations.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/Async_human_input.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Agent Teaching and Learning&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📘 Teach Agents New Skills &amp;amp; Reuse via Automated Chat&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎓 Education &amp;amp; Training&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates teaching new skills to agents and enabling their reuse in automated chats.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_teaching" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Teach Agents New Facts, User Preferences and Skills Beyond Coding&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎓 Education &amp;amp; Training&lt;/td&gt;
&lt;td style="text-align: left"&gt;Shows how to teach agents new facts, user preferences, and non-coding skills.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_teachability" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 Teach OpenAI Assistants Through GPTAssistantAgent&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 AI Assistant Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Illustrates how to enhance OpenAI assistants&amp;rsquo; capabilities using GPTAssistantAgent.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_teachable_oai_assistants.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔄 Agent Optimizer: Train Agents in an Agentic Way&lt;/td&gt;
&lt;td style="text-align: left"&gt;🛠️ Optimization&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains how to train agents effectively in an agentic manner using the Agent Optimizer.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_agentoptimizer.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Multi-Agent Chat with OpenAI Assistants in the loop&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🌟 Hello-World Chat with OpenAI Assistant in AutoGen&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤖 Conversational AI&lt;/td&gt;
&lt;td style="text-align: left"&gt;A basic example of chatting with OpenAI Assistant using AutoGen.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_twoagents_basic.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔧 Chat with OpenAI Assistant using Function Call&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔧 Development Tools&lt;/td&gt;
&lt;td style="text-align: left"&gt;Illustrates how to use function calls with OpenAI Assistant in chats.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_function_call.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Chat with OpenAI Assistant with Code Interpreter&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 Software Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates the use of OpenAI Assistant as a code interpreter in chats.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_code_interpreter.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔍 Chat with OpenAI Assistant with Retrieval Augmentation&lt;/td&gt;
&lt;td style="text-align: left"&gt;📚 Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;Enables retrieval-augmented conversations with OpenAI Assistant.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_retrieval.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤝 OpenAI Assistant in a Group Chat&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤝 Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;Shows how OpenAI Assistant can collaborate with other agents in a group chat.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_groupchat.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🛠️ GPTAssistantAgent based Multi-Agent Tool Use&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔧 Development Tools&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains how to use GPTAssistantAgent for multi-agent tool usage.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/gpt_assistant_agent_function_call.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Non-OpenAI Models&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;♟️ Conversational Chess using Non-OpenAI Models&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎮 Gaming&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explores conversational chess implemented with non-OpenAI models.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nested_chats_chess_altmodels" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Multimodal Agent&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🎨 Multimodal Agent Chat with DALLE and GPT-4V&lt;/td&gt;
&lt;td style="text-align: left"&gt;🖼️ Multimedia AI&lt;/td&gt;
&lt;td style="text-align: left"&gt;Combines DALLE and GPT-4V for multimodal agent communication.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_dalle_and_gpt4v.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🖌️ Multimodal Agent Chat with Llava&lt;/td&gt;
&lt;td style="text-align: left"&gt;📷 Image Processing&lt;/td&gt;
&lt;td style="text-align: left"&gt;Uses Llava for enabling multimodal agent conversations with image processing.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_lmm_llava.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🖼️ Multimodal Agent Chat with GPT-4V&lt;/td&gt;
&lt;td style="text-align: left"&gt;🖼️ Multimedia AI&lt;/td&gt;
&lt;td style="text-align: left"&gt;Leverages GPT-4V for visual and conversational interactions in multimodal agents.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_lmm_gpt-4v.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Long Context Handling&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📜 Long Context Handling as A Capability&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI Capability&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates techniques for handling long context effectively within AI workflows.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_transform_messages" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Evaluation and Assessment&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📊 AgentEval: A Multi-Agent System for Assessing Utility of LLM-Powered Applications&lt;/td&gt;
&lt;td style="text-align: left"&gt;📈 Performance Evaluation&lt;/td&gt;
&lt;td style="text-align: left"&gt;Introduces AgentEval for evaluating and assessing the performance of LLM-based applications.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agenteval_cq_math.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Automatic Agent Building&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🏗️ Automatically Build Multi-agent System with AgentBuilder&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤖 AI Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains how to automatically build multi-agent systems using the AgentBuilder tool.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/autobuild_basic.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📚 Automatically Build Multi-agent System from Agent Library&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤖 AI Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;Shows how to construct multi-agent systems by leveraging a pre-defined agent library.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/autobuild_agent_library.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Observability&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📊 Track LLM Calls, Tool Usage, Actions and Errors using AgentOps&lt;/td&gt;
&lt;td style="text-align: left"&gt;📈 Monitoring &amp;amp; Analytics&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates how to monitor LLM interactions, tool usage, and errors using AgentOps.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_agentops.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Enhanced Inferences&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔗 API Unification&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔧 API Management&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains how to unify API usage with documentation and code examples.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/docs/Use-Cases/enhanced_inference/#api-unification" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Documentation-blue?logo=readthedocs"
loading="lazy"
alt="Documentation"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;⚙️ Utility Functions to Help Managing API Configurations Effectively&lt;/td&gt;
&lt;td style="text-align: left"&gt;🔧 API Management&lt;/td&gt;
&lt;td style="text-align: left"&gt;Demonstrates utility functions to manage API configurations more effectively.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://microsoft.github.io/autogen/0.2/docs/topics/llm_configuration" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;💰 Cost Calculation&lt;/td&gt;
&lt;td style="text-align: left"&gt;📈 Cost Management&lt;/td&gt;
&lt;td style="text-align: left"&gt;Introduces methods for tracking token usage and estimating costs for LLM interactions.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_cost_token_tracking.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;⚡ Optimize for Code Generation&lt;/td&gt;
&lt;td style="text-align: left"&gt;📊 Optimization&lt;/td&gt;
&lt;td style="text-align: left"&gt;Highlights cost-effective optimization techniques for improving code generation with LLMs.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/oai_completion.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📐 Optimize for Math&lt;/td&gt;
&lt;td style="text-align: left"&gt;📊 Optimization&lt;/td&gt;
&lt;td style="text-align: left"&gt;Explains techniques to optimize LLM performance for solving mathematical problems.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/microsoft/autogen/blob/0.2/notebook/oai_chatgpt_gpt4.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/badge/View-Notebook-blue?logo=jupyter"
loading="lazy"
alt="Notebook"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="framework-name-agno"&gt;&lt;strong&gt;Framework Name&lt;/strong&gt;: &lt;strong&gt;Agno&lt;/strong&gt;
&lt;/h3&gt;&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;UseCase&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 Support Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 Software Development / AI / Framework Support&lt;/td&gt;
&lt;td style="text-align: left"&gt;The Agno Support Agent helps developers with the Agno framework by providing real-time answers, explanations, and code examples.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/agno_support_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🎥 YouTube Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;📺 Media &amp;amp; Content&lt;/td&gt;
&lt;td style="text-align: left"&gt;An intelligent agent that analyzes YouTube videos by generating detailed summaries, timestamps, themes, and content breakdowns using AI tools.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/youtube_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📊 Finance Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;💼 Finance&lt;/td&gt;
&lt;td style="text-align: left"&gt;An advanced AI-powered market analyst that delivers real-time stock market insights, analyst recommendations, financial deep-dives, and sector-specific trends. Supports prompts for detailed analysis of companies like AAPL, TSLA, NVDA, etc.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/thinking_finance_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📚 Study Partner&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎓 Education&lt;/td&gt;
&lt;td style="text-align: left"&gt;Assists users in learning by finding resources, answering questions, and creating study plans.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/study_partner.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🛍️ Shopping Partner Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🏬 E-commerce&lt;/td&gt;
&lt;td style="text-align: left"&gt;A product recommender agent that helps users find matching products based on preferences from trusted platforms like Amazon, Flipkart, etc.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/shopping_partner.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🎓 Research Scholar Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Education / Research&lt;/td&gt;
&lt;td style="text-align: left"&gt;An AI-powered academic assistant that performs advanced academic searches, analyzes recent publications, synthesizes findings across disciplines, and writes well-structured academic reports with proper citations.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/research_agent_exa.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Research Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🗞️ Media &amp;amp; Journalism&lt;/td&gt;
&lt;td style="text-align: left"&gt;A research agent that combines web search and professional journalistic writing. It performs deep investigations and produces NYT-style reports.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/research_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🍳 Recipe Creator&lt;/td&gt;
&lt;td style="text-align: left"&gt;🍽️ Food &amp;amp; Culinary&lt;/td&gt;
&lt;td style="text-align: left"&gt;An AI-powered recipe recommendation agent that provides personalized recipes based on ingredients, preferences, and time constraints.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/recipe_creator.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🗞️ Finance Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;💼 Finance&lt;/td&gt;
&lt;td style="text-align: left"&gt;A powerful financial analyst agent combining real-time stock data, analyst insights, company fundamentals, and market news. Ideal for analyzing companies like Apple, Tesla, NVIDIA, and sectors like semiconductors or automotive.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/finance_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Financial Reasoning Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;📈 Finance&lt;/td&gt;
&lt;td style="text-align: left"&gt;Uses a Claude-3.5 Sonnet-based agent to analyze stocks like NVDA using tools for reasoning and Yahoo Finance data.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/reasoning_finance_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 Readme Generator Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 Software Dev&lt;/td&gt;
&lt;td style="text-align: left"&gt;Agent generates high-quality READMEs for GitHub repositories using repo metadata.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/readme_generator.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🎬 Movie Recommendation Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🎥 Entertainment&lt;/td&gt;
&lt;td style="text-align: left"&gt;An intelligent agent that gives personalized movie recommendations using Exa and GPT-4o, analyzing genres, themes, and latest ratings.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/movie_recommedation.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔍 Media Trend Analysis Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;📰 Media &amp;amp; News&lt;/td&gt;
&lt;td style="text-align: left"&gt;Analyzes emerging trends, patterns, and influencers from digital platforms using AI-powered agents and scraping.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/media_trend_analysis_agent.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;⚖️ Legal Document Analysis Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🏛️ Legal Tech&lt;/td&gt;
&lt;td style="text-align: left"&gt;An AI agent that analyzes legal documents from PDF URLs and provides legal insights based on a knowledge base using vector embeddings and GPT-4o.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/legal_consultant.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤔 DeepKnowledge&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Research&lt;/td&gt;
&lt;td style="text-align: left"&gt;This agent performs iterative searches through its knowledge base, breaking down complex queries into sub-questions and synthesizing comprehensive answers. It uses Agno docs for demonstration and is designed for deep reasoning and exploration.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/deep_knowledge.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;📚 Book Recommendation Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 Publishing &amp;amp; Media&lt;/td&gt;
&lt;td style="text-align: left"&gt;An intelligent agent that provides personalized book suggestions using literary data, reader preferences, reviews, and release info.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/book_recommendation.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🏠 MCP Airbnb Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🛎️ Hospitality&lt;/td&gt;
&lt;td style="text-align: left"&gt;Create an AI Agent using MCP and Llama 4 to search Airbnb listings with filters like workspace &amp;amp; transport proximity.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/airbnb_mcp.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 Assist Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI Framework&lt;/td&gt;
&lt;td style="text-align: left"&gt;An AI agent using GPT-4o to answer questions about the Agno framework with hybrid search and embedded knowledge.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/agno_assist.py" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;h3 id="framework-name-langgraph"&gt;&lt;strong&gt;Framework Name&lt;/strong&gt;: &lt;strong&gt;Langgraph&lt;/strong&gt;
&lt;/h3&gt;&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;UseCase&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th style="text-align: left"&gt;Use Case&lt;/th&gt;
&lt;th style="text-align: left"&gt;Industry&lt;/th&gt;
&lt;th style="text-align: left"&gt;Description&lt;/th&gt;
&lt;th style="text-align: left"&gt;Notebook&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 Chatbot Simulation Evaluation&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 💬 AI / Quality Assurance&lt;/td&gt;
&lt;td style="text-align: left"&gt;Simulate user interactions to evaluate chatbot performance, ensuring robustness and reliability in real-world scenarios.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Information Gathering via Prompting&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Research &amp;amp; Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to design a LangGraph workflow that utilizes prompting techniques to gather information effectively. It showcases how to structure prompts and manage the flow of information to build intelligent agents.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbots/information-gather-prompting.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Code Assistant with LangGraph&lt;/td&gt;
&lt;td style="text-align: left"&gt;💻 Software Development&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a resilient code assistant using LangGraph. It guides you through creating a graph-based agent that can handle code generation, error checking, and iterative refinement, ensuring robust and accurate coding assistance.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧑‍💼 Customer Support Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧑‍💼 Customer Support Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a customer support agent using LangGraph. It guides you through creating a graph-based agent that can handle customer inquiries, providing automated support and enhancing user experience.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/customer-support/customer-support.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🔁 Extraction with Retries&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Data Extraction&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to implement retry mechanisms in LangGraph workflows, ensuring robust data extraction processes that can handle transient errors and improve reliability.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/extraction/retries.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Multi-Agent Workflow&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Workflow Orchestration&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a multi-agent system using LangGraph&amp;rsquo;s agent supervisor. It guides you through creating a supervisor agent that orchestrates multiple specialized agents, managing task delegation and communication flow.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/agent_supervisor.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Hierarchical Agent Teams&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Workflow Orchestration&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a hierarchical agent system using LangGraph. It guides you through creating a top-level supervisor agent that delegates tasks to specialized sub-agents, enabling complex workflows with clear task delegation and communication.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤝 Multi-Agent Collaboration&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Workflow Orchestration&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to implement multi-agent collaboration using LangGraph. It guides you through creating multiple specialized agents that work together to accomplish a complex task, showcasing the power of agent collaboration in AI workflows.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Plan-and-Execute Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Workflow Orchestration&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a &amp;ldquo;Plan-and-Execute&amp;rdquo; style agent using LangGraph. It guides you through creating an agent that first generates a multi-step plan and then executes each step sequentially, revisiting and modifying the plan as necessary. This approach is inspired by the Plan-and-Solve paper and the Baby-AGI project, aiming to enhance long-term planning and task execution in AI workflows.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 SQL Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Database Interaction&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build an agent that can answer questions about a SQL database. The agent fetches available tables, determines relevance to the question, retrieves schemas, generates a query, checks for errors, executes it, and formulates a response.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/sql-agent.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Reflection Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Workflow Orchestration&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a reflection agent using LangGraph. It guides you through creating an agent that can critique and revise its own outputs, enhancing the quality and reliability of generated content.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/reflection/reflection.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 Reflexion Agent&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Workflow Orchestration&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build a reflexion agent using LangGraph. It guides you through creating an agent that can reflect on its actions and outcomes, enabling iterative improvement and more accurate decision-making in complex workflows.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/reflexion/reflexion.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;&lt;strong&gt;LangGraph Agentic RAG&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 &lt;strong&gt;Adaptive RAG&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to build an Adaptive RAG system using LangGraph. It guides you through creating a dynamic retrieval process that adjusts based on query complexity, enhancing the efficiency and accuracy of information retrieval.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 &lt;strong&gt;Adaptive RAG (Local)&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial focuses on implementing Adaptive RAG with local models, allowing for offline retrieval and generation, which is crucial for environments with limited internet access or privacy concerns.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 &lt;strong&gt;Agentic RAG&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤖 AI / Intelligent Agents&lt;/td&gt;
&lt;td style="text-align: left"&gt;Learn to build an Agentic RAG system where an agent determines the best retrieval strategy before generating a response, improving the relevance and accuracy of answers.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_agentic_rag.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🤖 &lt;strong&gt;Agentic RAG (Local)&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🤖 AI / Intelligent Agents&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial extends Agentic RAG to local environments, enabling the use of local models and data sources for retrieval and generation tasks.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_agentic_rag_local.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 &lt;strong&gt;Corrective RAG (CRAG)&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;Implement a Corrective RAG system that evaluates and refines retrieved documents before passing them to the generator, ensuring higher-quality outputs.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_crag.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 &lt;strong&gt;Corrective RAG (Local)&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial focuses on building a Corrective RAG system using local resources, allowing for offline document evaluation and refinement processes.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_crag_local.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 &lt;strong&gt;Self-RAG&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;Learn to implement Self-RAG, where the system reflects on its responses and retrieves additional information if necessary, enhancing the accuracy and relevance of generated content.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_self_rag.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td style="text-align: left"&gt;🧠 &lt;strong&gt;Self-RAG (Local)&lt;/strong&gt;&lt;/td&gt;
&lt;td style="text-align: left"&gt;🧠 AI / Information Retrieval&lt;/td&gt;
&lt;td style="text-align: left"&gt;This tutorial demonstrates how to implement Self-RAG using local models and data sources, enabling offline reflection and retrieval processes.&lt;/td&gt;
&lt;td style="text-align: left"&gt;&lt;a class="link" href="https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb" target="_blank" rel="noopener"
&gt;&lt;img src="https://img.shields.io/static/v1?label=AI&amp;#43;Agent&amp;#43;Code&amp;amp;message=Python&amp;amp;color=%23244cd1"
loading="lazy"
alt="AI Agent Code - Python"
&gt;&lt;/a&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;</description></item><item><title>NeuroTechEDU's Awesome List of BCI-related Resources</title><link>https://blog.zwzhang.com/en/p/neurotechedus-awesome-list-of-bci-related-resources/</link><pubDate>Mon, 02 Feb 2026 12:34:25 -0800</pubDate><guid>https://blog.zwzhang.com/en/p/neurotechedus-awesome-list-of-bci-related-resources/</guid><description>&lt;h1 id="neurotechedus-awesome-list-of-bci-related-resources"&gt;NeuroTechEDU&amp;rsquo;s Awesome List of BCI-related Resources
&lt;/h1&gt;&lt;h2 id="introduction"&gt;Introduction
&lt;/h2&gt;&lt;p&gt;&lt;a class="link" href="https://github.com/NeuroTechX/awesome-bci" target="_blank" rel="noopener"
&gt;Curated Collection of BCI resources&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;This is a list of tools, resources, and learning materials related to Brain-Computer Interfaces (BCI). The list is maintained by the &lt;a class="link" href="https://neurotechx.com/" target="_blank" rel="noopener"
&gt;NeuroTechX&lt;/a&gt; community.&lt;/p&gt;
&lt;h2 id="software"&gt;Software
&lt;/h2&gt;&lt;h3 id="bci-experiment-design-and-analysis"&gt;BCI Experiment Design and Analysis
&lt;/h3&gt;&lt;p&gt;These applications help you design BCI experiments, run them, collect data, and analyze the results.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/NeuroTechX/eeg-expy" target="_blank" rel="noopener"
&gt;EEG-ExPy&lt;/a&gt;: Free &amp;amp; Open-Source (FOSS) Python library for EEG &amp;amp; experiment design, recording, and analysis. Maintained by the EEG-ExPy team within NeuroTechX. &lt;a class="link" href="https://bit.ly/m/eeg-expy-cns" target="_blank" rel="noopener"
&gt;CNS2024 Poster&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://openvibe.inria.fr/" target="_blank" rel="noopener"
&gt;OpenViBE&lt;/a&gt;: A software platform dedicated to designing, testing, and using Brain-Computer Interfaces, maintained by the OpenViBE Consortium.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.bci2000.org/mediawiki/index.php/Main_Page" target="_blank" rel="noopener"
&gt;BCI2000&lt;/a&gt;: Software suite with GUI based on C++ for data acquisition, stimulus presentation, and brain monitoring applications.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://neuroimage.usc.edu/brainstorm/" target="_blank" rel="noopener"
&gt;Brainstorm&lt;/a&gt;: Collaborative, open-source application dedicated to the analysis of brain recordings: MEG, EEG, fNIRS, ECoG, depth electrodes and multiunit electrophysiology.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.shifz.org/brainbay/" target="_blank" rel="noopener"
&gt;BrainBay&lt;/a&gt;: Bio- and neurofeedback application working with various hardware frameworks including OpenBCI/OpenEEG.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://okazolab.com/" target="_blank" rel="noopener"
&gt;EventIDE&lt;/a&gt;: EventIDE is a software platform for designing and running multimodal experiments, with an IDE.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://neuropype.io" target="_blank" rel="noopener"
&gt;NeuroPype&lt;/a&gt;: platform for real-time brain-computer interfacing (BCI), neuroimaging, and neural signal processing, which supports a range of biosignal modalities including EEG, fNIRS, ExG, etc.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://mne.tools/stable/install/mne_tools_suite.html" target="_blank" rel="noopener"
&gt;MNE&lt;/a&gt;: MNE-Python is an open-source Python module for processing, analysis, and visualization of functional neuroimaging data (EEG, MEG, sEEG, ECoG, and fNIRS). The tools suite includes interoperable packages in Python, MATLAB, C++, etc., which operate in GUI, CLI, or API.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.psychopy.org/builder/" target="_blank" rel="noopener"
&gt;PsychoPy Builder&lt;/a&gt;: PsychoPy is an open-source application for creating experiments in neuroscience, psychology, and psychophysics.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://psychtoolbox.org/" target="_blank" rel="noopener"
&gt;PsychToolBox&lt;/a&gt;: Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="matlab-toolboxes"&gt;Matlab Toolboxes
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://sccn.ucsd.edu/eeglab/" target="_blank" rel="noopener"
&gt;EEGLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.fieldtriptoolbox.org/" target="_blank" rel="noopener"
&gt;FieldTrip&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://sccn.ucsd.edu/wiki/BCILAB" target="_blank" rel="noopener"
&gt;BCILab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/bbci/bbci_public" target="_blank" rel="noopener"
&gt;BBCI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://erpinfo.org/erplab" target="_blank" rel="noopener"
&gt;ERPLAB&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://psychtoolbox.org" target="_blank" rel="noopener"
&gt;Psychtoolbox&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://chronux.org/" target="_blank" rel="noopener"
&gt;Chronux&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="python-toolboxes"&gt;Python Toolboxes
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/thunder-project/thunder" target="_blank" rel="noopener"
&gt;Thunder&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/bbci/pyff" target="_blank" rel="noopener"
&gt;Pyff&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/bbci/mushu" target="_blank" rel="noopener"
&gt;Mushu&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/bbci/wyrm" target="_blank" rel="noopener"
&gt;Wyrm&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/curiositry/EEGrunt" target="_blank" rel="noopener"
&gt;EEGrunt&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://getcloudbrain.com/" target="_blank" rel="noopener"
&gt;Cloudbrain&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/mne-tools/mne-python" target="_blank" rel="noopener"
&gt;MNE-Python&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/strfry/OpenNFB" target="_blank" rel="noopener"
&gt;OpenNFB&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/octopicorn/bcikit" target="_blank" rel="noopener"
&gt;bcikit&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.psychopy.org/" target="_blank" rel="noopener"
&gt;PsychoPy&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/PIA-Group/BioSPPy" target="_blank" rel="noopener"
&gt;BioSPPy&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://timeflux.io" target="_blank" rel="noopener"
&gt;Timeflux&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/eegsynth/eegsynth" target="_blank" rel="noopener"
&gt;EEGsynth&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/pyRiemann/pyRiemann" target="_blank" rel="noopener"
&gt;pyRiemann&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/NeuroTechX/moabb" target="_blank" rel="noopener"
&gt;MOABB&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/nmc-costa/neuroprime" target="_blank" rel="noopener"
&gt;NeuroPrime&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://braindecode.org/dev/index.html" target="_blank" rel="noopener"
&gt;Braindecode&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://brainflow.org" target="_blank" rel="noopener"
&gt;Brainflow&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/neurotechx/eeg-expy" target="_blank" rel="noopener"
&gt;EEG-ExPy&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/LMBooth/pybci" target="_blank" rel="noopener"
&gt;PyBCI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/arctop/mw75-streamer" target="_blank" rel="noopener"
&gt;mw75-streamer&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="mobile-apps"&gt;Mobile Apps
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;MindMonitor: &lt;a class="link" href="https://apps.apple.com/ca/app/mind-monitor/id988527143" target="_blank" rel="noopener"
&gt;iOS App Store&lt;/a&gt;, &lt;a class="link" href="https://play.google.com/store/apps/details?id=com.sonicPenguins.museMonitor" target="_blank" rel="noopener"
&gt;Google Play Store&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;NeuroSky Android SDK: &lt;a class="link" href="https://github.com/pwittchen/neurosky-android-sdk" target="_blank" rel="noopener"
&gt;Google Play Store&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;EEG-101 (Now-deprecated): &lt;a class="link" href="https://github.com/NeuroTechX/eeg-101" target="_blank" rel="noopener"
&gt;Google Play Store&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="brain-visualizations"&gt;Brain Visualizations
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://brainbox.pasteur.fr/" target="_blank" rel="noopener"
&gt;BrainBox&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://brainbrowser.cbrain.mcgill.ca/" target="_blank" rel="noopener"
&gt;BrainBrowser&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://zzz.bwh.harvard.edu/luna/apps/moonlight/" target="_blank" rel="noopener"
&gt;Moonlight&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="raspberrypi-framework"&gt;RaspberryPi Framework
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://pieeg.com/" target="_blank" rel="noopener"
&gt;PiEEG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/BlinoTech/BlinoTech.github.io" target="_blank" rel="noopener"
&gt;Blino PiNaps&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/AtlantsEmbedded/IntelliPi" target="_blank" rel="noopener"
&gt;IntelliPi&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="communication-protocols"&gt;Communication Protocols
&lt;/h3&gt;&lt;p&gt;These are some of the commonly used Communication protocols.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/sccn/labstreaminglayer" target="_blank" rel="noopener"
&gt;Lab Streaming Layer&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.opensoundcontrol.org/" target="_blank" rel="noopener"
&gt;Open Sound Control&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.fieldtriptoolbox.org/development/realtime/buffer_protocol/" target="_blank" rel="noopener"
&gt;FieldTrip buffer&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="hardware"&gt;Hardware
&lt;/h2&gt;&lt;p&gt;This section is separated into different sections based on the types of technology.&lt;/p&gt;
&lt;h3 id="eeg"&gt;EEG
&lt;/h3&gt;&lt;p&gt;&lt;a class="link" href="https://en.wikipedia.org/wiki/Electroencephalography" target="_blank" rel="noopener"
&gt;Electroencephalography&lt;/a&gt; is the most commonly used form of Neurotechnology. There are many options out there meaning that you can easily find a device that matches your needs and price.&lt;/p&gt;
&lt;h4 id="consumer-and-diy-devices"&gt;Consumer and DIY Devices
&lt;/h4&gt;&lt;p&gt;Some of these devices are still supported and actively developed by manufacturers, community members, or researchers. Others are no longer supported but may still have a community of users who can help you get access.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://choosemuse.com/" target="_blank" rel="noopener"
&gt;Muse 2016, Muse 2, Muse S&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://openbci.com" target="_blank" rel="noopener"
&gt;OpenBCI Ganglion, Cyton, Daisy, Galea&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://iduntechnologies.com/idun-guardian" target="_blank" rel="noopener"
&gt;IDUN Guardian&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://neurable.com/" target="_blank" rel="noopener"
&gt;Neurable MW75 Neuro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://neurosity.co/" target="_blank" rel="noopener"
&gt;Neurosity Crown&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://brainbit.com/" target="_blank" rel="noopener"
&gt;BrainBit Headband &amp;amp; Flex&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://emotiv.com" target="_blank" rel="noopener"
&gt;Emotiv EPOC, Flex, Insight&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://beacon.bio/dreem-headband/" target="_blank" rel="noopener"
&gt;Dreem by Beacon Biosignals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.cognionics.com/" target="_blank" rel="noopener"
&gt;Cognionics&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://elemindtech.com/" target="_blank" rel="noopener"
&gt;Elemind&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://neurosky.com/" target="_blank" rel="noopener"
&gt;Neurosky&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.crowdsupply.com/neuroidss/freeeeg32" target="_blank" rel="noopener"
&gt;FreeEEG32: an open source 32 channel eeg&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://bakerdh.wordpress.com/2013/01/31/a-first-look-at-the-olimex-eeg-smt/" target="_blank" rel="noopener"
&gt;EEG-SMT by Olimex&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.crowdsupply.com/starcat/hackeeg" target="_blank" rel="noopener"
&gt;HackEEG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://icibici.github.io/site/" target="_blank" rel="noopener"
&gt;icibici&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://openeeg.sourceforge.net/doc/" target="_blank" rel="noopener"
&gt;OpenEEG&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="research-devices-manufactures"&gt;Research Devices Manufactures
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.wearablesensing.com" target="_blank" rel="noopener"
&gt;Wearable Sensing Dry Electrode EEG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.gtec.at" target="_blank" rel="noopener"
&gt;g.tec&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.egi.com/" target="_blank" rel="noopener"
&gt;EGI High Density EEG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.biosemi.com/" target="_blank" rel="noopener"
&gt;BioSemi&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ant-neuro.com" target="_blank" rel="noopener"
&gt;ANT Neuro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.advancedbrainmonitoring.com" target="_blank" rel="noopener"
&gt;Advanced Brain Monitoring&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.brainproducts.com/" target="_blank" rel="noopener"
&gt;Brain Products&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://mentalab.com/" target="_blank" rel="noopener"
&gt;Mentalab Explore&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.natus.com" target="_blank" rel="noopener"
&gt;Natus Neuro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.tmsi.com/products/" target="_blank" rel="noopener"
&gt;TMSi&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="eeg-parts--supplies"&gt;EEG Parts &amp;amp; Supplies
&lt;/h4&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://conscious-labs.com/3-eeg-devices" target="_blank" rel="noopener"
&gt;Conscious Labs - EEG Supra Headphones&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.emotiv.com/products/flex-gel" target="_blank" rel="noopener"
&gt;Emotiv Flex Gel&lt;/a&gt; &amp;amp; &lt;a class="link" href="https://www.emotiv.com/products/flex-saline" target="_blank" rel="noopener"
&gt;Emotiv Flex Saline&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://fri-fl-shop.com/" target="_blank" rel="noopener"
&gt;Florida Research Instruments&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://oshpark.com/shared_projects/h2i1xBaW" target="_blank" rel="noopener"
&gt;DIY Electrode Design&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.ti.com/tool/ads1299eegfe-pdk" target="_blank" rel="noopener"
&gt;TI ADS1299EEG-FE&lt;/a&gt;: Analog Front End for EEG solutions. e.g., in OpenBCI Cyton.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://intantech.com" target="_blank" rel="noopener"
&gt;Intan Technologies&lt;/a&gt;: Microchips and miniature recording &amp;amp; stimulation headstages.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://shop.openbci.com/products/idun-dryode-kit" target="_blank" rel="noopener"
&gt;IDUN Dryode&lt;/a&gt;: Adhesive dry electrodes for EEG.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://bio-medical.com/supplies/eeg-electrodes.html" target="_blank" rel="noopener"
&gt;Bio-Medical&lt;/a&gt;: For supplies and consumables&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.sciencedirect.com/science/article/pii/S1388245704003906" target="_blank" rel="noopener"
&gt;Comparison of different types of electrodes&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="nirs"&gt;NIRS
&lt;/h3&gt;&lt;p&gt;Near-Infrared Spectroscopy (NIRS) is a technology that measures the concentration of hemoglobin in each brain region, which can be used to infer energy expenditure and hence higher activity in that region.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.artinis.com/" target="_blank" rel="noopener"
&gt;Artinis Medical Systems&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.cortivision.com/" target="_blank" rel="noopener"
&gt;CortiVision&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.hitachi-hightech.com/global/product_list/?ld=iis1&amp;amp;md=iis1-6" target="_blank" rel="noopener"
&gt;Hitachi Hightech&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://nirx.net/" target="_blank" rel="noopener"
&gt;NIRx&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.ssi.shimadzu.com/products/productgroup.cfm?subcatlink=tissueimaging" target="_blank" rel="noopener"
&gt;Shimadzu&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://kernel.co" target="_blank" rel="noopener"
&gt;Kernel Flow&lt;/a&gt;: EEG + TD-fNIRS&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="multimodal-neurotech"&gt;Multimodal Neurotech
&lt;/h3&gt;&lt;p&gt;These devices combine different type of sensors to measure or influence brain activity.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://foc.us/focus-eeg-dev-kit-instructions-guide/" target="_blank" rel="noopener"
&gt;Foc.us Dev kit: EEG,TDCS,fNIRS,TACS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.neuroelectrics.com/" target="_blank" rel="noopener"
&gt;Neuroelectrics: EEG,TDCS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bitalino.com/" target="_blank" rel="noopener"
&gt;BITalino: EEG,EMG,ECG,EDA&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.emotibit.com/" target="_blank" rel="noopener"
&gt;Emotibit: EDA,PPG,Temperature&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="brain-stimulation"&gt;Brain Stimulation
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.instructables.com/id/Transcranial-Magnetic-Stimulation-TMS-Device/" target="_blank" rel="noopener"
&gt;DIY TMS&lt;/a&gt;: Transcranial Magnetic Stimulation (TMS)&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.bostonscientific.com/en-US/products/deep-brain-stimulation-systems.html" target="_blank" rel="noopener"
&gt;Boston Scientific&lt;/a&gt;: DBS, SCS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.medtronic.com/us-en/index.html" target="_blank" rel="noopener"
&gt;Medtronic&lt;/a&gt;: DBS, tES, SCS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.magstim.com/" target="_blank" rel="noopener"
&gt;Magstim&lt;/a&gt;: TMS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.soterixmedical.com/" target="_blank" rel="noopener"
&gt;Soterix Medical&lt;/a&gt;: TDCS, tACS, tRNS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://clarity-technologies.com/" target="_blank" rel="noopener"
&gt;Clarity&lt;/a&gt;: Light &amp;amp; Stimulation therapy for Alzheimer&amp;rsquo;s Disease&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://vielight.com/" target="_blank" rel="noopener"
&gt;Vielight&lt;/a&gt;: Transcranial Photobiomodulation&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.neuroelectrics.com/" target="_blank" rel="noopener"
&gt;Neuroelectrics&lt;/a&gt;: tDCS, tACS, tRNS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.neuropace.com/" target="_blank" rel="noopener"
&gt;NeuroPace&lt;/a&gt;: RNS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://nervexneurotech.com/" target="_blank" rel="noopener"
&gt;NerveX&lt;/a&gt;: VNS in canine epilepsy.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://neurosigma.com/" target="_blank" rel="noopener"
&gt;NeuroSigma&lt;/a&gt;: eTNS&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.brainsway.com/" target="_blank" rel="noopener"
&gt;Brainsway&lt;/a&gt;: Deep TMS&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="upcoming-neuroimaging-tech"&gt;Upcoming NeuroImaging Tech
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://fultrasound.eu/" target="_blank" rel="noopener"
&gt;Functional Ultrasound (FUS)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://en.wikipedia.org/wiki/Event-related_optical_signal" target="_blank" rel="noopener"
&gt;Event Related Optical Signal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.researchgate.net/publication/223360817_Shedding_light_on_brain_function_The_event-related_optical_signal" target="_blank" rel="noopener"
&gt;Event-Related Optical Signal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://arxiv.org/pdf/cond-mat/9906188.pdf" target="_blank" rel="noopener"
&gt;Quasi-Ballistic Photons. (The Tech being used by Facebook&amp;rsquo;s BCI)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/OpenEIT/EIT_PCB" target="_blank" rel="noopener"
&gt;Open Electrical Impedance Tomography&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805039/" target="_blank" rel="noopener"
&gt;Optically Pumped Magnetometers (OPM)&lt;/a&gt;, e.g., &lt;a class="link" href="https://quspin.com/" target="_blank" rel="noopener"
&gt;QuSpin&lt;/a&gt; and &lt;a class="link" href="https://www.cercamagnetics.com/cerca-opm-meg" target="_blank" rel="noopener"
&gt;Cerca&lt;/a&gt;:
&lt;ul&gt;
&lt;li&gt;&amp;ldquo;Optically&amp;rdquo; stabilizing highly sensitive magnetometers to measure the change in magnetic fields due to neural activity.&lt;/li&gt;
&lt;li&gt;Does not need Helium cooling like conventional (SQUID) MEG, and hence is much smaller and lighter, and somewhat cheaper.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;Diffused Optical Imaging: Used for instance by Mary Lou Jepken et al @ &lt;a class="link" href="https://www.openwater.health/" target="_blank" rel="noopener"
&gt;Openwater&lt;/a&gt;, aiming to build a portable MRI. More info on the tech:
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://en.wikipedia.org/wiki/Diffuse_optical_imaging" target="_blank" rel="noopener"
&gt;Diffuse optical imaging pt. 1 (wiki)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://drive.google.com/file/d/0B-G2rraXdWRlenk2U0QzbW9PdkU/view?usp=sharing" target="_blank" rel="noopener"
&gt;Diffuse Optical Imaging pt. 2&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="brain-databases"&gt;Brain Databases
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_data.html" target="_blank" rel="noopener"
&gt;SCCN list of eeg/erp data for free public download&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.studycatalog.org/" target="_blank" rel="noopener"
&gt;EEG studies with the raw data&lt;/a&gt; - &lt;a class="link" href="http://www.bigeeg.org/" target="_blank" rel="noopener"
&gt;(from BigEEG Consortium)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://bnci-horizon-2020.eu/database/data-sets" target="_blank" rel="noopener"
&gt;BNCI Horizon Data Sets&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://fcon_1000.projects.nitrc.org/indi/cmi_eeg/" target="_blank" rel="noopener"
&gt;The Child Mind Institute MIPDB Dataset&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://memory.psych.upenn.edu/RAM" target="_blank" rel="noopener"
&gt;RAM (DARPA) Invasive Recording Dataset from U. Penn&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://mindbigdata.com/opendb/index.html" target="_blank" rel="noopener"
&gt;MindBigData MNIST of Brain Digits&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.mindbigdata.com/opendb/imagenet.html" target="_blank" rel="noopener"
&gt;MindBigData ImageNet of The Brain&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/meagmohit/EEG-Datasets" target="_blank" rel="noopener"
&gt;meagmohit&amp;rsquo;s List of EEG Datasets&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://openneuro.org/" target="_blank" rel="noopener"
&gt;OpenNeuro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://physionet.org/" target="_blank" rel="noopener"
&gt;PhysioNet&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://sleepdata.org/" target="_blank" rel="noopener"
&gt;National Sleep Research Resource&lt;/a&gt;: A large collection of sleep data. Supported by the Sleep Research Society (SRS).&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://isip.piconepress.com/projects/" target="_blank" rel="noopener"
&gt;Temple University EEG Corpora&lt;/a&gt;: various datasets including health, epilepsy, artifactual, etc.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="tutorials-and-project-ideas"&gt;Tutorials and Project Ideas
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://eegedu.com" target="_blank" rel="noopener"
&gt;EEGEdu&lt;/a&gt;: Web-based live Tutorial on EEG and BCI, from basic to advanced. Maintained by the Mathewsons (&lt;a class="link" href="https://sites.psych.ualberta.ca/kylemathewson/" target="_blank" rel="noopener"
&gt;Ky&lt;/a&gt;&lt;a class="link" href="https://korymathewson.com/" target="_blank" rel="noopener"
&gt;Kor&lt;/a&gt;&lt;a class="link" href="https://www.linkedin.com/in/keyfer/" target="_blank" rel="noopener"
&gt;Key&lt;/a&gt;)&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.frontiernerds.com/brain-hack" target="_blank" rel="noopener"
&gt;How to Hack Toy EEGs&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/bcimontreal/bci_workshop/blob/master/INSTRUCTIONS.md" target="_blank" rel="noopener"
&gt;BCI Workshop&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://sccn.ucsd.edu/wiki/Introduction_To_Modern_Brain-Computer_Interface_Design" target="_blank" rel="noopener"
&gt;Introduction to Modern BCI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://eeghacker.blogspot.com/2015/03/brain-controlled-shark-attack.html" target="_blank" rel="noopener"
&gt;Brain-Controlled Shark Attack&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/neuralcubes/musephero" target="_blank" rel="noopener"
&gt;Controlling a sphero with a muse&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/jmanart/smartphone-bci" target="_blank" rel="noopener"
&gt;Building a 20 Euro EEG for your smartphone&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://web.archive.org/web/20240930191736/https://openvibe.inria.fr/forum/viewtopic.php?f=3&amp;amp;t=9668" target="_blank" rel="noopener"
&gt;Muse File Reader for OpenVibe&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/NeuroTechX/eeg-101" target="_blank" rel="noopener"
&gt;EEG 101: Interactive tutorial for Android and Muse&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/katie356/BrainwaveAnalyzer/tree/master/web-edition" target="_blank" rel="noopener"
&gt;Brainwave analyzer&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://naplab.ee.columbia.edu/bcilab.html" target="_blank" rel="noopener"
&gt;BCI Course offered by Columbia University&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/NeurotechBerkeley/bci-course" target="_blank" rel="noopener"
&gt;BCI Course at Berkeley by Pierre of NeuroTechX&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.humanbrainmapping.org/m/pages.cfm?pageID=3814" target="_blank" rel="noopener"
&gt;EEG and MRI Course offered by OHBM&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/inclusive-brains/prometheus-bci" target="_blank" rel="noopener"
&gt;Prometheus Multimodal BCI (Olympic Torch)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="communities-and-blogs"&gt;Communities and Blogs
&lt;/h2&gt;&lt;h3 id="forums"&gt;Forums
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://neurobb.com/" target="_blank" rel="noopener"
&gt;NeuroBB&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://openbci.com/community/" target="_blank" rel="noopener"
&gt;OpenBCI Community&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://forum.choosemuse.com/" target="_blank" rel="noopener"
&gt;Muse Community&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://support.neurosky.com/discussions" target="_blank" rel="noopener"
&gt;NeuroSky&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://forum.emotiv.com/" target="_blank" rel="noopener"
&gt;Emotiv&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="blogs"&gt;Blogs
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://neurotechx.medium.com/" target="_blank" rel="noopener"
&gt;NeuroTechX Content Lab&lt;/a&gt;: Articles, tutorials, and interviews on neurotechnology&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://eegnewsletter.substack.com/" target="_blank" rel="noopener"
&gt;The EEG Newsletter&lt;/a&gt;: News, events, and resources in EEG. By Raquel E. London&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://nschawor.github.io/posts/" target="_blank" rel="noopener"
&gt;Natalie Schaworonkow&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.autodidacts.io/" target="_blank" rel="noopener"
&gt;Autodidact&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://strfry.org/blog/" target="_blank" rel="noopener"
&gt;Strfry&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://sites.google.com/site/fabienlotte/research/code-and-softwares" target="_blank" rel="noopener"
&gt;Fabien Lotte&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://eeghacker.blogspot.ca/" target="_blank" rel="noopener"
&gt;Chip Audette EEG Hacker&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://alexandre.barachant.org/" target="_blank" rel="noopener"
&gt;Alexandre Barachant&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://lambdaloop.com/" target="_blank" rel="noopener"
&gt;Pierre Karashchuk&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://phd.jfrey.info/" target="_blank" rel="noopener"
&gt;Jeremy Frey&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.irenevigueguix.com" target="_blank" rel="noopener"
&gt;Irene Vigué Guix&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="competitions"&gt;Competitions
&lt;/h2&gt;&lt;h3 id="data-competitions"&gt;Data Competitions
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.kaggle.com/c/grasp-and-lift-eeg-detection" target="_blank" rel="noopener"
&gt;Kaggle Grasp and Lift&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.kaggle.com/c/inria-bci-challenge" target="_blank" rel="noopener"
&gt;Kaggle Error Detection&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.kaggle.com/c/decoding-the-human-brain" target="_blank" rel="noopener"
&gt;Kaggle Decode the Human Brain&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.kaggle.com/c/seizure-prediction" target="_blank" rel="noopener"
&gt;Kaggle Seizure Prediction&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.kaggle.com/c/seizure-detection" target="_blank" rel="noopener"
&gt;Kaggle Seizure Detection&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.bbci.de/competition/iv/" target="_blank" rel="noopener"
&gt;BCI Competition&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.br41n.io/" target="_blank" rel="noopener"
&gt;BR41N.io BCI Competition&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="brain-controlled-competitions"&gt;Brain Controlled Competitions
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://braindronerace.com/" target="_blank" rel="noopener"
&gt;Brain Drone Competition&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.cybathlon.ethz.ch/" target="_blank" rel="noopener"
&gt;Cybathlon&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="conferences-and-events"&gt;Conferences and Events
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://bcisociety.org/events/" target="_blank" rel="noopener"
&gt;&lt;strong&gt;List&lt;/strong&gt;: Curated list of events (BCI Society)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://bcisociety.org/bci-thursdays-online-events/" target="_blank" rel="noopener"
&gt;BCI Thursdays (BCI Society)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://bcisociety.org/bci-meeting/" target="_blank" rel="noopener"
&gt;BCI Meeting&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.neurogamingconf.com/" target="_blank" rel="noopener"
&gt;NeuroGaming / XTech&lt;/a&gt; &lt;a class="link" href="https://www.youtube.com/user/NeuroGamingCon/videos" target="_blank" rel="noopener"
&gt;(Youtube Videos)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://chi2016.acm.org/wp/" target="_blank" rel="noopener"
&gt;CHI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://conference.israelbrain.org/" target="_blank" rel="noopener"
&gt;BrainTech&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://brainsummit.com/" target="_blank" rel="noopener"
&gt;Brain Summit&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://nips.cc/" target="_blank" rel="noopener"
&gt;NIPS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.sfn.org/" target="_blank" rel="noopener"
&gt;SfN&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.gtec.at/event/bci-neurotechnology-spring-school-2025/" target="_blank" rel="noopener"
&gt;g.tec SpringSchool on BCI&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="reading-material"&gt;Reading Material
&lt;/h2&gt;&lt;h3 id="papers"&gt;Papers
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.researchgate.net/publication/51727880_Multiclass_Brain-Computer_Interface_Classification_by_Riemannian_Geometry" target="_blank" rel="noopener"
&gt;Multiclass Brain-Computer Interface Classification by Riemannian Geometry&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.researchgate.net/publication/258144410_A_New_Generation_of_Brain-Computer_Interface_Based_on_Riemannian_Geometry" target="_blank" rel="noopener"
&gt;A New Generation of Brain-Computer Interface Based on Riemannian Geometry&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130129" target="_blank" rel="noopener"
&gt;My Virtual Dream: Collective Neurofeedback in an Immersive Art Environment &lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272647/" target="_blank" rel="noopener"
&gt;BCI Competition IV – Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery Detection&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://doc.ml.tu-berlin.de/bbci/publications/BlaLemTreHauMue10.pdf" target="_blank" rel="noopener"
&gt;Single-Trial Analysis and Classification of ERP Components – a Tutorial&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.researchgate.net/publication/301817936_Interpretable_Deep_Neural_Networks_for_Single-Trial_EEG_Classification" target="_blank" rel="noopener"
&gt;Interpretable Deep Neural Networks for Single-Trial EEG Classification&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148886" target="_blank" rel="noopener"
&gt;Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.nature.com/articles/srep25803" target="_blank" rel="noopener"
&gt;Word pair classification during imagined speech using direct brain recording&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ncbi.nlm.nih.gov/pubmed/28275048" target="_blank" rel="noopener"
&gt;Brain-Computer Interfaces Review, Nicolelis &amp;amp; Lebedev. 2017&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.pnas.org/content/112/44/E6058.abstract" target="_blank" rel="noopener"
&gt;High-speed spelling with a noninvasive brain–computer interface&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0172400" target="_blank" rel="noopener"
&gt;A high-speed brain-computer interface (BCI) using dry EEG electrodes&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="introductory-books"&gt;Introductory Books
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Beyond-Boundaries-Neuroscience-Connecting-Machines/dp/1250002613" target="_blank" rel="noopener"
&gt;Beyond Boundaries (Nicolellis)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Rhythms-Brain-Gyorgy-Buzsaki/dp/0199828237" target="_blank" rel="noopener"
&gt;Rhythms of Brain (Buzsaki)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Cycles-mind-rhythms-control-perception-ebook/dp/B013ZI5AIA" target="_blank" rel="noopener"
&gt;Cycles in mind (Cohen)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Principles-Neural-Science-Eric-Kandel/dp/0838577016" target="_blank" rel="noopener"
&gt;Principles of Neural Science (Kandel et al)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/The-Future-Mind-Scientific-Understand/dp/038553082X" target="_blank" rel="noopener"
&gt;The Future of the Mind (Kaku)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="technical-books"&gt;Technical Books
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Brain-Computer-Interfacing-Introduction-Rajesh-Rao/dp/0521769418" target="_blank" rel="noopener"
&gt;Brain-Computer Interfacing: An Introduction (Rao)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Brain-Computer-Interfaces-Principles-Jonathan-Wolpaw/dp/0195388852" target="_blank" rel="noopener"
&gt;Brain Computer Interfaces (Wolpaw)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://mitpress.mit.edu/books/analyzing-neural-time-series-data" target="_blank" rel="noopener"
&gt;Analyzing Neural Time Series Data (Cohen)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.springer.com/us/book/9781461449836" target="_blank" rel="noopener"
&gt;Imaging Brain Function with EEG (Freeman &amp;amp; Quiroga)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/MATLAB-Neuroscientists-Introduction-Scientific-Computing/dp/0123745519" target="_blank" rel="noopener"
&gt;Matlab for Neuroscientists&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://books.google.ca/books?id=EJeQ0hAB76gC&amp;amp;pg=PR3&amp;amp;redir_esc=y#v=onepage&amp;amp;q&amp;amp;f=false" target="_blank" rel="noopener"
&gt;Biomedical Optics&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://imotions.com/blog/eeg-books/" target="_blank" rel="noopener"
&gt;iMotions Top 10 EEG Books&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="signal-processing"&gt;Signal Processing
&lt;/h3&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="http://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/" target="_blank" rel="noopener"
&gt;Signals &amp;amp; Systems MIT Class&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Berkeley DSP class &lt;a class="link" href="https://www.youtube.com/watch?v=6_-ljdxjwac&amp;amp;list=PL-XXv-cvA_iCUQkarn2fxB3NggnPF_dob" target="_blank" rel="noopener"
&gt;lectures&lt;/a&gt;, &lt;a class="link" href="https://inst.eecs.berkeley.edu/~ee123/sp15/" target="_blank" rel="noopener"
&gt;page&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Signals-Systems-Edition-Alan-Oppenheim/dp/0138147574" target="_blank" rel="noopener"
&gt;Signals &amp;amp; Systems (Oppenheim, Willsky, Hamid)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="http://www.amazon.com/Discrete-Time-Signal-Processing-Edition-Prentice-Hall/dp/0137549202" target="_blank" rel="noopener"
&gt;Discrete-Time Signal Processing (2nd Edition) (Oppenheim, Schafer, Buck)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.youtube.com/@mikexcohen1" target="_blank" rel="noopener"
&gt;Data analysis lecturelets (Mike X Cohen)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="schools--summer-courses"&gt;Schools &amp;amp; Summer Courses
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://neurotechmicrocreds.com/" target="_blank" rel="noopener"
&gt;NeuroTech MicroCredentials Course&lt;/a&gt;: An accredited series of theoretical and hands-on courses on Neurotechnology, offered by NeuroTechX and Queens University.&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://neuromatch.io/courses/" target="_blank" rel="noopener"
&gt;Neuromatch Academy (NMA) Summer Schools&lt;/a&gt;: An online, community-driven set of summer schools in computational sciences&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://sincxpress.com/summerschool.html" target="_blank" rel="noopener"
&gt;Sinxpress summer schools&lt;/a&gt; by Mike X. Cohen&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://brainhack.org/" target="_blank" rel="noopener"
&gt;Brainhack&lt;/a&gt;: A community-driven, online, and in-person school for neurotech enthusiasts, happening in many cities around you!&lt;/li&gt;
&lt;li&gt;Recurring summer schools or community-maintained lists of Neurotech-related summer schools
&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://nschawor.github.io/posts/2024/neuro-summer-schools/" target="_blank" rel="noopener"
&gt;List maintained by N. Schwar&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://nayanika-biswas.notion.site/58f1530bd891475eb92f1e2e4984022f?v=83fc50c53b3a4191aa6f7cdf8d9b4e40" target="_blank" rel="noopener"
&gt;List maintained by N. Biswas&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="other-resources"&gt;Other Resources
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class="link" href="https://www.coursera.org/learn/medical-neuroscience" target="_blank" rel="noopener"
&gt;Neuroscience Duke Course (Coursera)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://web.archive.org/web/20230610175248/https://www.nuffieldbioethics.org/wp-content/uploads/2013/06/Novel_neurotechnologies_report_PDF_web_0.pdf" target="_blank" rel="noopener"
&gt;Novel Neurotechnologies Intervening in the Brain&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072086/" target="_blank" rel="noopener"
&gt;Augment Human Cognition by optimizing cortical oscillations&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://open-neuroscience.com/" target="_blank" rel="noopener"
&gt;Open Neuroscience&lt;/a&gt; - a user-driven database of Open Source/Science projects related to Neurosciences&lt;/li&gt;
&lt;li&gt;&lt;a class="link" href="https://github.com/okbalefthanded/awesome-bci-reviews" target="_blank" rel="noopener"
&gt;Awesome-BCI-Reviews&lt;/a&gt; - Curated list of Brain-Computer Interface peer-reviewd published reviews and surveys ordered by year of publication.&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>