Bias Auditing & Fair ML Toolkit
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Updated
Sep 11, 2024 - 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.
Mitigate machine learning bias to ensure data ethics in U.S. national home mortgage dataset.
A wiki slash playground for projects on how machines aquire biases.
A repo to explore how different data imputation methods affect machine bias
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