ATOM00blue/

machine-learning-library

GitHub

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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Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).

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