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Explainable Artificial Intelligence Python Packages

Python packages with the GitHub topic explainable-artificial-intelligence. Sorted by relevance, with stars and monthly downloads.
ModelOriented
dalex

moDel Agnostic Language for Exploration and eXplanation

37K 1K 170
adrianstando
edgaro

Explainable imbalanceD learninG compARatOr

4K 2 1
sergioburdisso
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:

2K 348 44
utkukose
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.

890 7 0
explainX
explainx

Explain and debug any black-box Machine Learning model.

767 445 57
dianna-ai
dianna

Deep Insight And Neural Network Analysis

745 55 12
amaxiom
rshap

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

588 1 0
KaryFramling
py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

447 29 8
amaxiom
shapley-behaviors

Shapley value transformations for behavioral data analysis

368 1 0
sbobek
lux-explainer

Universal Local Rule-based Explainer

367 13 6
amaxiom
datatypical

Scientific Data Significance Rankings with Shapley Explanations

362 5 0
imatge-upc
survlimepy

Local interpretability for survival models

350 24 4
ajayarunachalam
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

329 129 30
TaimoorKhan10
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.

225 0 2
ahmed-mohamed-sn
atgfe

Automated Transparent Genetic Feature Engineering

198 22 5
Telefonica
xaiographs

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

179 3 2
sam43
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.

160 7 0
henrikbostrom
xrf

ExPLAINABLE rANDOM fORESTS (xrf)

104 5 0
KaryFramling
ciu-py

Explainable Artificial Intelligence through Contextual Importance and Utility

82 29 8
edahelsinki
slisemap-interactive

Interactive plots for Slisemap

68 1 0
Yuval-Ai
nnplot

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

61 10 1
KaryFramling
karys-crazy-test

Explainable Artificial Intelligence through Contextual Importance and Utility

59 29 8
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