AI-Fairness-Explainability-Toolkit
PublicAI Fairness and Explainability Toolkit (AFET) is an open-source project aimed at providing tools and frameworks to assess, visualize, and mitigate bias in machine learning models. It supports multiple ML frameworks and offers a comprehensive suite of metrics and visualization components to enhance model transparency and fairness.
aibias-detectiondata-scienceethical-aiexplainable-artificial-intelligencefairnessmachine-learningmlopsmodel-interpretationopen-source
作成時間:2025-05-25T02:28:15
更新時間:2025-05-26T00:56:13
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