InterpretML

interpret

Fit interpretable models. Explain blackbox machine learning.

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

interpret-community

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

interpret-text

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

gam-changer

Editing machine learning models to reflect human knowledge and values

TalkToEBM

A Natural Language Interface to Explainable Boosting Machines

slicer

Unified slicing for all Python data structures.

FasterRisk

Create sparse and accurate risk scoring systems!

fastSparse

ebm2onnx

A tool to convert EBM models to ONNX

LLM-Tabular-Memorization-Checker

Testing Language Models for Memorization of Tabular Datasets.

kdd2022-tutorial

Tutorial on Glassbox Machine Learning at KDD 2022

interpretml.github.io

webpage for InterpretML

docs

Hosts static files specific to documentation.

governance