Explainable Artificial Intelligence Python Packages

dalex

moDel Agnostic Language for Exploration and eXplanation

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:

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

datatypical

Scientific Data Significance Rankings with Shapley Explanations

dianna

Deep Insight And Neural Network Analysis

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.

ai-fairness-toolkit

A comprehensive toolkit for evaluating and improving AI model fairness and explainability

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

py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

lux-explainer

Local Universal Rule-based Explanations

survlimepy

Local interpretability for survival models

atgfe

Automated Transparent Genetic Feature Engineering

xaiographs

XAIoGraphs (eXplainability Articicial Intelligence over Graphs) is an Explicability and Fairness Python library for classification problems with tabulated and discretized data.

codez-cli

CodeZ CLI is an interactive, offline first and AI-powered code assistant for your terminal. Features session memory, file reading with syntax highlighting, and a beautiful, customizable interface using Rich and prompt-toolkit. Perfect for developers who want smart code help right in the CLI without internet.

rshap

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

xrf

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

ciu-py

Explainable Artificial Intelligence through Contextual Importance and Utility

nnplot

:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights

karys-crazy-test

Explainable Artificial Intelligence through Contextual Importance and Utility

slisemap-interactive

Interactive plots for Slisemap