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leann

yichuan-w/leann

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

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atom00blue

machine-learning-library

A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning.

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heymrun

heym

Build AI workflows by prompt or visual canvas. Heym is source-available and self-hosted, with agents, RAG, MCP, HITL, observability, evals, token cost tracking and more.

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