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.
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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
