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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Created
2018-08-22
437 commits to main branch, last one 4 months ago
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Created
2018-08-02
294 commits to master branch, last one 3 years ago
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
Created
2021-01-17
21 commits to main branch, last one 3 years ago
Official implementation of our work "Collaborative Fairness in Federated Learning."
Created
2020-04-02
413 commits to master branch, last one 5 months ago