stanford-cs-229-machine-learning and Stanford-CS229

These two tools are competitors, with A being a more popular and comprehensive cheatsheet for Stanford's CS229 course, while B is a less popular personal set of notes for the same course.

stanford-cs-229-machine-learning

Established

Stanford-CS229

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 8/25

Maturity 8/25

Community 18/25

Stars: 19,296

Forks: 4,163

Downloads: —

Commits (30d): 0

Language: —

License: MIT

Stars: 42

Forks: 12

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About stanford-cs-229-machine-learning

afshinea/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

Covers supervised, unsupervised, and deep learning algorithms alongside foundational refreshers in probability, statistics, algebra, and calculus. Content is organized modularly—individual cheatsheets for each ML subfield plus a unified "super cheatsheet"—and available in 10+ languages across PDF and web formats. Designed as a comprehensive reference guide integrating course prerequisites with practical training tips for practitioners.

About Stanford-CS229

lakshyaag/Stanford-CS229

My notes for Stanford's CS229 course

Related comparisons

stanford-cs-229-machine-learning and stanford-cs-230-deep-learning stanford-cs-229-machine-learning and stanford-cs-221-artificial-intelligence stanford-cs-229-machine-learning and cs229-2018-autumn stanford-cs-229-machine-learning and cs229-2019-summer stanford-cs-229-machine-learning and Stanford-CS229-Spring2023-Notes stanford-cs-229-machine-learning and cs229-2018-autumn

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