LastPrincipal/machine-learning-library-684

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.

GitHub repository with 56 stars and 0 forks.

Language: Python

Topics: arxiv, corpus, dataset, deep-learning, education, llm, machine-learning, nlp, study-resources, transformers

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2026-06-04: 56 stars and 0 forks.

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