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Hand-picked AI open-source projects on GitHub worth following: LLMs, agents, RAG, local deployment, image and speech… 1047 projects so far.

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All 1047🧠 Large Language Models 26🤖 AI Agents 164🧩 App Development Platforms 23📚 RAG & Knowledge Bases 46💬 Chat UIs & Clients 41🖥️ Local Inference & Deployment 87👨‍💻 AI Coding 99🛠️ Frameworks & SDKs 47🔌 MCP & Tool Ecosystem 34🎨 Image Generation 25🎬 Video Generation 17🎙️ Speech & Audio 44👁️ Computer Vision 28📄 Document Parsing & Scraping 24🗄️ Vector Databases 25🏋️ Training, Fine-Tuning & MLOps 75🧪 Evaluation, Observability & Safety 81🚪 API Gateways & Proxies 12🔎 Search & Deep Research 15⚙️ Deep Learning Libraries 56🏷️ Data & Annotation 31🔬 Industry & Science AI 34⚡ Productivity Tools 13
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[NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while mai

Enterprise-grade landing zone for AI agent applications on Azure. Deploy the secure infrastructure, the agent app, or both — built on Microsoft Foundry and Microsoft Agent Framework, with Zero-Trust networking, observabi

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Open-source autonomous AI penetration testing. 50 specialist agents across web, API, cloud, Active Directory, Kubernetes, CI/CD and AI/LLM (OWASP LLM Top 10). Runs on a local LLM behind a Privacy Gateway. Integrates with

👨‍💻 AI CodingLLMLocal deployment★ 1.1k

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applic