InterpretML ORG

Fit interpretable models. Explain blackbox machine learning.

Generate Diverse Counterfactual Explanations for any machine learning model.

A tool to convert EBM models to ONNX

Editing machine learning models to reflect human knowledge and values

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

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

A Natural Language Interface to Explainable Boosting Machines

Create sparse and accurate risk scoring systems!

Testing Language Models for Memorization of Tabular Datasets.

Unified slicing for all Python data structures.

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Tutorial on Glassbox Machine Learning at KDD 2022

webpage for InterpretML

Hosts static files specific to documentation.

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