ATOM00blue/machine-learning-library
Custom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.
๐ Contains a series of hands-on notebooks for learning the fundamentals of NLP
$ git clone https://github.com/dair-ai/nlp_fundamentals.gitCustom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.
Free machine-learning courses from MIT, Stanford, Berkeley, CMU, NYU and UChicago, with every yearly edition and lecture video linked in one searchable page.
โฒ +148 โ this week
12 Weeks, 24 Lessons, AI for All!
ๆญค้กน็ฎๆฏๆบๅจๅญฆไน (Machine Learning)ใๆทฑๅบฆๅญฆไน (Deep Learning)ใNLP้ข่ฏไธญๅธธ่ๅฐ็็ฅ่ฏ็นๅไปฃ็ ๅฎ็ฐ๏ผไนๆฏไฝไธบไธไธช็ฎๆณๅทฅ็จๅธๅฟ ไผ็็่ฎบๅบ็ก็ฅ่ฏใ
โฒ +6 โ this week
๐บ Discover the latest machine learning / AI courses on YouTube.
Data from GitHub ยท snapshot Nov 13, 2026