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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
438 commits to main branch, last one 11 days ago
WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in ca...
Created
2020-03-11
274 commits to develop branch, last one about a year 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
NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering
Created
2019-05-27
28 commits to master branch, last one 3 years ago
[ICML 2022] Channel Importance Matters in Few-shot Image Classification
Created
2022-06-18
41 commits to main branch, last one about a year ago