Fit interpretable models. Explain blackbox machine learning.

A Natural Language Interface to Explainable Boosting Machines

A tool to convert EBM models to ONNX

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

Testing Language Models for Memorization of Tabular Datasets.

Generate Diverse Counterfactual Explanations for any machine learning model.

Hosts static files specific to documentation.

webpage for InterpretML

Unified slicing for all Python data structures.

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.