Fairness-aware Data Mining
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Updated
Mar 19, 2019 - Python
Fairness-aware Data Mining
Package implementing methods developed in "Preventing Fairness Gerrymandering" [ICML '18], "Rich Subgroup Fairness for Machine Learning" [ FAT* '19]. active development fork @algowatchupenn
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
Official implementation of our work "Collaborative Fairness in Federated Learning."
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
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.
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