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

1600 86

Git Repositories

Started

2016-11-22 3,167 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 3 commits #2,073 2 contributors #1,732
Past 90 days 16 commits #2,057 9 contributors #1,290
Past 365 days 107 commits #2,060 35 contributors #1,074
Past 1095 days 410 commits #2,236 74 contributors #1,284
All time 2,664 commits 260 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
88 Sebastian R
0 0 0 1 1
88 Hugh O'Brien
0 0 0 1 1
88 Xovee Xu
0 0 0 1 1
124 Deepyaman Datta
0 0 0 0 2
124 Gökçen Eraslan
0 0 0 0 2
124 Harutaka Kawamura Databricks
0 0 0 0 2
124 Navdeep Gill
0 0 0 0 2
124 Rafal Wojdyla
0 0 0 0 2
124 Av Shrikumar
0 0 0 0 2
124 quantumtec
0 0 0 0 2
124 fabsig
0 0 0 0 2
124 Tiago Toledo Junior
0 0 0 0 2
124 Reese Hyde
0 0 0 0 2
124 Nandish Gupta
0 0 0 0 2
124 Alex DeGrave
0 0 0 0 2
124 Miae Kim
0 0 0 0 2
124 dmilad
0 0 0 0 2
124 Giovanni Misitano
0 0 0 0 2
124 ibuda
0 0 0 0 2
124 Ivan
0 0 0 0 2
Showing 121 to 140 of 260 results
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Contributing Companies

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