Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

A visual counterfactual explanation of predictions by machine learning models. Work adapted fromhttps://arxiv.org/abs/2003.02428.

Easily explain the behavior of machine learning models using decision rules generated by decision trees. Work adapted fromhttps://github.com/nyuvis/SuRE

⬛ Python Individual Conditional Expectation Plot Toolbox