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An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
A Python toolbox for auditing machine learning models to detect and quantify bias in black-box predictions.
A curated list of algorithms and academic papers for auditing black-box algorithms like recommendation systems and classifiers.
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