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shap/shap

A game theoretic approach to explain the output of any machine learning model.

AI dev
Updated
2026-07-15
Lists
2 list mentions
First commit
2016-11-22
History
7 history points
License
MIT
Issues
1,038 open
Forks
3,729
Commits
3,027 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
lightgbm-org/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Updated
2026-07-15
Lists
3 list mentions
First commit
2016-08-05
History
10 history points
License
MIT
Issues
511 open
Forks
4,036
Commits
3,844 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Updated
2025-09-11
Lists
2 list mentions
First commit
2023-03-24
History
6 history points
License
LGPL-3.0
Issues
310 open
Forks
1,565
Commits
551 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
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.

Updated
2026-07-15
Lists
4 list mentions
First commit
2017-07-18
History
10 history points
License
Apache-2.0
Issues
710 open
Forks
1,312
Commits
50,592 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 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
History
7 history points
License
MIT
Issues
48 open
Forks
781
Commits
3,967 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
stanfordmlgroup/ngboost

Natural Gradient Boosting for Probabilistic Prediction

Updated
2026-07-01
Lists
1 list mention
First commit
2018-06-21
History
6 history points
License
Apache-2.0
Issues
50 open
Forks
252
Commits
739 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
tensorflow/decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Updated
2026-05-19
Lists
1 list mention
First commit
2021-05-10
History
6 history points
License
Apache-2.0
Issues
52 open
Forks
117
Commits
649 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history