AI Fairness 360

By Linux Foundation

TOOLKIT

AI Fairness 360, an LF AI incubation project, is an extensible open source toolkit that can help users examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. It is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education. The toolkit is available in both Python and R.


AI Explainability 360

By Linux Foundation

TOOLKIT

The AI Explainability 360 toolkit, an LF AI Foundation incubation project, is an open-source library that supports interpretability and explainability of datasets and machine learning models. The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics.There is no single approach to explainability that works best. The toolkit is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education...


Adversarial Robustness Toolbox

By Linux Foundation

TOOLKIT

Adversarial Robustness Toolbox (ART) provides tools that enable developers and researchers to evaluate, defend and verify Machine Learning models and applications against the adversarial threats...