Bias Auditing & Fair ML Toolkit
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Updated
May 12, 2026 - Python
Bias Auditing & Fair ML Toolkit
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Open-source toolkit to help companies implement responsible AI workflows.
Machine behaviour - papers and related resources.
Analyzing and drawing insights from historical NYPD shooting incidents data.
A repo to explore how different data imputation methods affect machine bias
A wiki slash playground for projects on how machines aquire biases.
Mitigate machine learning bias to ensure data ethics in U.S. national home mortgage dataset.
To associate your repository with the machine-bias topic, visit your repo's landing page and select "manage topics."