AIF360
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.
Evaluate and reduce bias in machine learning models and datasets using a toolkit with fairness metrics and correction algorithms.
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Free · no card · unsubscribe anytimeA comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AIF360 has 2.8k stars on GitHub. It has been forked 912 times. AIF360 is written mainly in Python. It has been in active development since 2018. AIF360 is available under the Apache-2.0 license. Its main topics are ai, artificial-intelligence, bias, bias-correction.
What is AIF360?
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.
Is AIF360 open source?
AIF360 is an open-source project. It is released under the Apache-2.0 license.
Is AIF360 free?
Yes. AIF360 is free and open source — you can use, modify and self-host it.
What license does AIF360 use?
AIF360 is available under the Apache-2.0 license.
What language is AIF360 written in?
AIF360 is written mainly in Python.
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