Explainable Machine Learning Python Packages

xaisuite

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

datatypical

Scientific Data Significance Rankings with Shapley Explanations

secml

A Python library for Secure and Explainable Machine Learning

shapley-behaviors

Explainable Pattern Recognition for Materials and Biomedical Data

gemex

GEMEX is a novel, model-agnostic Explainable AI (XAI) library grounded in Riemannian information geometry and differential geometry. It treats a trained model as defining a statistical manifold equipped with the Fisher Information Metric and derives all explanations from the intrinsic geometry of that manifold.

torchprism

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

xrf

xrf is a Python package that implements random forests with example attribution

cfai

A collection of algorithms of counterfactual explanations.