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155 repositories · updated 2026-11-07

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1microsoft / AI-For-Beginners12 Weeks, 24 Lessons, AI for All!Jupyter NotebookMIT · PermissiveInsufficient rank history70,619
2apachecn / ailearningAiLearning: Data Analysis + Machine Learning Practice + Linear Algebra + PyTorch + NLTK + TF2PythonLicense not declaredInactiveInsufficient rank history42,622
3666ghj / BettaFishA multi-agent assistant for analyzing public information.PythonGPL-2.0 · Share derivative sourceInsufficient rank history42,604
4google / langextractA Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.PythonApache-2.0 · PermissiveInsufficient rank history39,274
5ashishpatel26 / 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code500 AI Machine learning Deep learning Computer vision NLP Projects with codeLicense not declaredInsufficient rank history37,662
6hankcs / HanLPChinese word segmentation Part-of-speech tagging Named entity recognition Dependency syntax analysis Component syntax analysis Semantic dependency analysis Semantic role annotation Reference resolution Style transfer Semantic similarity New word discovery Keyword phrase extraction Automatic summarization Text classification and clustering Pinyin to Simplified Traditional conversion Natural language processingPythonApache-2.0 · PermissiveInsufficient rank history36,536
7NandhaKishorM / layaNon-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.PythonApache-2.0 · PermissiveInsufficient rank history35,125
8explosion / spaCy💫 Industrial-strength Natural Language Processing (NLP) in PythonPythonMIT · PermissiveInsufficient rank history34,034
9stanford-oval / stormAn LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.PythonMIT · PermissiveInactiveInsufficient rank history31,806
10NirDiamant / RAG_TechniquesThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.Jupyter NotebookLicense not declaredInsufficient rank history30,253
11AccumulateMore / CV✅(Completed) Super comprehensive deep learning notes [Mound Pytorch] [Li Mu hands-on learning of deep learning] [Ng Enda deep learning] [Dafei Big Model Agent]Jupyter NotebookLicense not declaredInsufficient rank history24,237
12lukasmasuch / best-of-ml-python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.CC-BY-SA-4.0 · Share derivative sourceInsufficient rank history23,860
13AiHubCN / Awesome-Chinese-LLMOrganize open source Chinese language models, focusing on smaller models that can be deployed privately and have lower training costs, including base models, fine-tuning and applications in vertical fields, data sets and tutorials, etc.License not declaredInsufficient rank history22,780
14microsoft / unilmLarge-scale Self-supervised Pre-training Across Tasks, Languages, and ModalitiesPythonMIT · PermissiveInsufficient rank history22,240
15AI4Finance-Foundation / FinGPTA large-language-model project focused on finance-related research and applications.Jupyter NotebookMIT · PermissiveInsufficient rank history21,536
16RasaHQ / rasa💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistantsPythonApache-2.0 · PermissiveInsufficient rank history21,373
17keon / awesome-nlp:book: A curated list of resources dedicated to Natural Language Processing (NLP)CC0-1.0 · PermissiveInsufficient rank history19,137
18ymcui / Chinese-LLaMA-AlpacaChinese LLaMA & Alpaca large language model + local CPU/GPU training deployment (Chinese LLaMA & Alpaca LLMs)PythonApache-2.0 · PermissiveInactiveInsufficient rank history18,920
19NLP-LOVE / ML-NLPThis project is about knowledge points and code implementations that are often tested in machine learning, deep learning, and NLP interviews. It is also the theoretical basic knowledge that an algorithm engineer must know.Jupyter NotebookLicense not declaredInactiveInsufficient rank history17,841
20dair-ai / ML-YouTube-Courses📺 Discover the latest machine learning / AI courses on YouTube.CC0-1.0 · PermissiveInactiveInsufficient rank history17,446
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