Explainable Artificial Intelligence Python Packages

dalex

moDel Agnostic Language for Exploration and eXplanation

datatypical

Scientific Data Significance Rankings with Shapley Explanations

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:

dianna

Deep Insight And Neural Network Analysis

shapley-behaviors

Explainable Pattern Recognition for Materials and Biomedical Data

explainx

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

py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

survlimepy

Local interpretability for survival models

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

edgaro

Explainable imbalanceD learninG compARatOr - Engineering Thesis Project

lux-explainer

Local Universal Rule-based Explanations

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.

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.

atgfe

Automated Transparent Genetic Feature Engineering

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

xaiographs

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

pfd-gste

My dissertation research project proposing novel Hybrid CNN–Transformer A/B models and scalable guidance modules for investigating shortcut-learning mitigation in brain tumour MRI classification when pixel-level masks are unavailable.

slisemap-interactive

Interactive plots for Slisemap

ciu-py

Explainable Artificial Intelligence through Contextual Importance and Utility

karys-crazy-test

Explainable Artificial Intelligence through Contextual Importance and Utility

rshap

Undertanding the impact of individual data instances on model performance using residual decomposition and Shapley values

nnplot

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

ciu-python

Explainable Artificial Intelligence through Contextual Importance and Utility