SHAP

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

Explainable Machine Learning
started in 2016
2,664 commits
260 contributors

Rank

1472 107

Git Repositories

Started

2016-11-22 3,153 days ago

GitHub Stars

23,361 #528

Weekly commits since inception
2016 2020 2025

Weekly contributors since inception
2016 2020 2025

Recent Project Activity

Time Period Commits Contributors
Past 30 days 7 commits #1,802 3 contributors #1,513
Past 90 days 22 commits #1,929 10 contributors #1,228
Past 365 days 117 commits #2,025 37 contributors #1,028
Past 1095 days 410 commits #2,238 74 contributors #1,292
All time 2,664 commits 260 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
20 Diego Palacios
1 1 1 1 1
20 Primož Godec
0 0 0 4 7
23 kodonnell
0 0 0 0 13
23 Hugh Chen
0 0 0 0 13
25 Davide Fiocco
0 0 2 2 2
25 Fabian Liebig
0 0 2 2 2
25 Jason Tam
0 0 0 0 12
25 Frederik Heda
0 0 2 2 2
29 Alexandra Okeson
0 0 0 0 11
29 Maggie Wu
0 0 0 0 11
31 Emmanuel Ferdman
0 1 1 1 1
31 Alexis Drakopoulos
0 0 0 0 10
31 Josh Sloan
0 1 1 1 1
31 Benj Fassbind
0 1 1 1 1
31 Benny
0 1 1 1 1
31 Royi
0 1 1 1 1
37 Lakshman
0 0 0 3 3
37 toblab96
0 0 0 0 9
37 Owen Lamont
0 0 0 3 3
37 Jorge C. Leitao Munin Data
0 0 0 0 9
Showing 21 to 40 of 260 results
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Contributing Companies

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