Aequitas

An open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools

Fair Machine Learning (Bias Mitigation)
started in 2018
923 commits
23 contributors

Rank

2929 286

Git Repositories

Started

2018-02-13 2,646 days ago

GitHub Stars

706 #3,027

Weekly commits since inception
2018 2021 2025

Weekly contributors since inception
2018 2021 2025

Recent Project Activity

Time Period Commits Contributors
Past 30 days 0 commits #2,506 0 contributors #2,506
Past 90 days 2 commits #2,714 2 contributors #2,298
Past 365 days 12 commits #2,954 5 contributors #2,537
Past 1095 days 66 commits #3,217 11 contributors #2,913
All time 923 commits 23 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
1 Pedro Saleiro Feedzai
0 0 0 7 552
2 Loren Hinkson
0 0 0 0 120
3 Ines Oliveira e Silva
0 1 3 25 25
4 Jesse London
0 0 0 0 68
5 Ari
0 0 0 0 53
6 sergio.jesus
0 0 1 12 14
7 Sérgio Jesus
0 0 6 6 6
8 Abby Stevens
0 0 0 0 32
9 Rayid Ghani
0 0 0 2 26
10 Sérgio Jesus
0 0 0 7 7
11 valmik-patel
0 0 1 3 3
12 Inês Silva
0 1 1 1 1
13 techbar
0 0 0 0 5
14 João Palmeiro Jungle
0 0 0 1 1
14 Davut Emre
0 0 0 1 1
14 Sujith Kamme
0 0 0 1 1
17 kalkairis
0 0 0 0 2
18 andre.cruz
0 0 0 0 1
18 André Cruz
0 0 0 0 1
18 David Polido
0 0 0 0 1
Showing 1 to 20 of 23 results
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Contributing Companies

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