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

1503 141

Git Repositories

Started

2016-11-22 3,155 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 4 commits #1,994 3 contributors #1,499
Past 90 days 22 commits #1,942 10 contributors #1,240
Past 365 days 117 commits #2,022 37 contributors #1,027
Past 1095 days 410 commits #2,238 74 contributors #1,289
All time 2,664 commits 260 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
153 Dorian Czichotzki
0 0 0 0 1
153 Evan Kriminger
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153 Feng Zhao
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153 filusn
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153 Gabriel Cypriano
0 0 0 0 1
153 Géraud Le Falher
0 0 0 0 1
153 gnicora
0 0 0 0 1
153 Graciela Carrillo
0 0 0 0 1
153 harivallabha
0 0 0 0 1
153 Karthik Ravi
0 0 0 0 1
153 jochenater
0 0 0 0 1
153 jverre-drivalytix
0 0 0 0 1
153 Javier Rando Ramírez
0 0 0 0 1
153 James Barbour
0 0 0 0 1
153 Jeffrey Tang
0 0 0 0 1
153 Jan Esser
0 0 0 0 1
153 jonlwowski012
0 0 0 0 1
153 Josh Zwiebel
0 0 0 0 1
153 JuanCorp
0 0 0 0 1
153 KKT
0 0 0 0 1
Showing 201 to 220 of 260 results
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Contributing Companies

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