Explainable Machine Learning Python Packages

xaisuite

XAISuite: Training and Explanation Generation Utilities for Machine Learning Models

secml

A Python library for Secure and Explainable Machine Learning

datatypical

Scientific Data Significance Rankings with Shapley Explanations

shapley-behaviors

Explainable Pattern Recognition for Materials and Biomedical Data

torchprism

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

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.

xrf

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

cfai

A collection of algorithms of counterfactual explanations.