Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
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.
Interpretability and explainability of data and machine learning models
Bias Auditing & Fair ML Toolkit
A Python package to assess and improve fairness of machine learning models.
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Clean PyTorch implementations of imitation and reward learning algorithms
XAI - An eXplainability toolbox for machine learning
3 captures since 2026-05-22