Fit interpretable models. Explain blackbox machine learning.

Unified slicing for all Python data structures.

Testing Language Models for Memorization of Tabular Datasets.

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

Hosts static files specific to documentation.

Generate Diverse Counterfactual Explanations for any machine learning model.

A tool to convert EBM models to ONNX

Create sparse and accurate risk scoring systems!

A Natural Language Interface to Explainable Boosting Machines

webpage for InterpretML