Explainable Artificial Intelligence Python Packages

dalex

moDel Agnostic Language for Exploration and eXplanation

dianna

Deep Insight And Neural Network Analysis

edgaro

Explainable imbalanceD learninG compARatOr - Engineering Thesis Project

pyss3

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:

datatypical

Scientific Data Significance Rankings with Shapley Explanations

explainx

Explain & debug any blackbox machine learning model with a single line of code.

pfd-gste

Reusable PyTorch modules for pathology-focused feature gating and guided token reweighting.

lux-explainer

Universal Local Rule-based Explainer

ai-fairness-toolkit

AI Fairness and Explainability Toolkit (AFET) is an open-source project aimed at providing tools and frameworks to assess, visualize, and mitigate bias in machine learning models. It supports multiple ML frameworks and offers a comprehensive suite of metrics and visualization components to enhance model transparency and fairness.

msda

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

survlimepy

Local interpretability for survival models

py-ciu

Python implementation of the Contextual Importance and Utility (CIU) explainable AI method

codez-cli

CodeZ CLI – When AI Takes a Break, We Don’t!

atgfe

Automated Transparent Genetic Feature Engineering

xaiographs

Python library providing Explainability & Fairness AI functionalities

gemex

GEMEX: Geodesic Entropic Manifold Explainability — novel model-agnostic XAI grounded in Riemannian information geometry

shapley-behaviors

Shapley value transformations for behavioral data analysis

xrf

ExPLAINABLE rANDOM fORESTS (xrf)

rshap

Symmetric Residual Decomposition — instance-level influence analysis via Shapley-style residual attribution

nnplot

Plot Neural Networks and the weights of the links between their nodes

slisemap-interactive

Interactive plots for Slisemap using Dash

ciu-py

Python documentation generator

karys-crazy-test

Explainable Artificial Intelligence through Contextual Importance and Utility