stanford-cs-229-machine-learning and cs229-2019-summer

These two tools are competitors because both provide comprehensive notes and materials for the CS229 Machine Learning course, forcing users to choose one as their primary resource.

stanford-cs-229-machine-learning

Established

cs229-2019-summer

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 24/25

Stars: 19,296

Forks: 4,163

Downloads: —

Commits (30d): 0

Language: —

License: MIT

Stars: 275

Forks: 102

Downloads: —

Commits (30d): 0

Language: HTML

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 cs229-2019-summer

maxim5/cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

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 Stanford-CS229 stanford-cs-229-machine-learning and Stanford-CS229-Spring2023-Notes stanford-cs-229-machine-learning and cs229-2018-autumn

Scores updated daily from GitHub, PyPI, and npm data. How scores work