Observed since 21 Oct, 10:40 UTC
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IBM AI Fairness 360
The AI Fairness 360 toolkit is an open-source library to help detect and mitigate bias in machine learning models. The AI Fairness 360 Python package includes a comprehensive set of metrics for datasets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
We have developed the package with extensibility in mind. This library is still in development. We encourage the contribution of your datasets, metrics, explainers, and debiasing algorithms.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.6.1 | 8 Apr 2024 | 29 |
This describes our collected data; it is not a security assessment.
Observed since 21 Oct, 10:40 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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