AIbase

AI-Fairness-Explainability-Toolkit

Public

AI 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.

作成時間2025-05-25T02:28:15
更新時間2025-05-26T00:56:13
0
Stars
0
Stars Increase

関連プロジェクト