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Awesome Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
josephmisiti/awesome-machine-learning
- List stars
- 73,566
- README repos
- 866
- Indexed repos
- 141
- List commits
- -
- Forks
- 15,546
- Open issues
- 21
Tracked list growth
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
Latest scan 2026-07-17 10:49
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catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
GitHub topics
- Updated
- 2026-07-15
- Lists
- 4 list mentions
- First commit
- 2017-07-18
- License
- Apache-2.0
- Issues
- 710 open
9,025
stars
- Forks
- 1,312
- Commits
- 50,592 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
- Updated
- 2026-07-15
- Lists
- 2 list mentions
- First commit
- 2009-04-29
- License
- NOASSERTION
- Issues
- 2 open
8,689
stars
- Forks
- 1,925
- Commits
- 10,555 commits
- Star growth, last 7 days
- +1 0.0%
- Commit velocity, last 7 days
- +3 0.0%
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
AI dev
- Updated
- 2026-07-13
- Lists
- 3 list mentions
- First commit
- 2019-05-03
- License
- MIT
- Issues
- 48 open
6,895
stars
- Forks
- 781
- Commits
- 3,967 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stack
GitHub topics
- Updated
- 2024-07-26
- Lists
- 3 list mentions
- First commit
- 2019-05-27
- License
- Apache-2.0
- Issues
- 0 open
3,543
stars
- Forks
- 458
- Commits
- 847 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
aksnzhy/xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
GitHub topics
- Updated
- 2023-08-28
- Lists
- 2 list mentions
- First commit
- 2017-06-10
- License
- Apache-2.0
- Issues
- 195 open
3,094
stars
- Forks
- 516
- Commits
- 1,342 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history