moDel Agnostic Language for Exploration and eXplanation

A toolkit that streamlines and automates the generation of model cards

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Python library for implementing Responsible AI mitigations.

With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.

Zero Trust AI 360

Open-source Project for Responsible Al Checklists in Machine Learning and Al Development

Introduction to responsible machine learning with Python

AAAI 2025 Tutorial on Machine Learning Safety

Responsible Prediction Making of COVID-19 Mortality (AAAI 2021)

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.

AI Equity Guide