https://modeloriented.github.io/DALEX/

moDel Agnostic Language for Exploration and eXplanation

black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai

Last synced: 10 Jul 2025

https://github.com/modeloriented/dalex

moDel Agnostic Language for Exploration and eXplanation

black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai

Last synced: 14 May 2025

https://github.com/ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai

Last synced: 14 Mar 2025

https://github.com/explainx/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

aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai

Last synced: 16 May 2025

https://github.com/explainX/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

aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai

Last synced: 04 Apr 2025

https://github.com/sergioburdisso/pyss3

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

artificial-intelligence data-mining document-categorization document-classification early-classification explainable-artificial-intelligence interpretability interpretable-machine-learning interpretable-ml machine-learning machine-learning-algorithms multilabel-classification natural-language-processing nlp sentence-classification ss3-classifier text-classification text-labeling text-mining xai

Last synced: 15 May 2025

https://github.com/astrazeneca/awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

artificial-intelligence data-science deep-learning explainability explainable explainable-ai explainable-artificial-intelligence explainable-ml lime machine-learning owen-value shap shapley shapley-additive-explanations shapley-decomposition shapley-q-value shapley-value xai

Last synced: 26 Dec 2025

https://github.com/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

anamoly-detection-using-graphs anomaly-detection correlation data-analysis deep-learning deep-neural-networks explainable-artificial-intelligence feature-engineering feature-selection multidimensional-data multisensor python pytorch sensor sensor-data signal-processing tabular-data time-series variation visualization

Last synced: 05 Oct 2025

https://github.com/andreysharapov/xaience

All about explainable AI, algorithmic fairness and more

explainable-ai explainable-artificial-intelligence explainable-ml interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning

Last synced: 17 Jan 2026

https://github.com/fitushar/3d-guidedgradcam-for-medical-imaging

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

3d-guided-grad-cam 3d-models cnn-visualization cnn-visualization-technique ctci explainable-ai explainable-ai-in-medical-imaging explainable-artificial-intelligence guided-grad-cam medical-imaging nifti tensorflow-examples tensorflow2

Last synced: 02 May 2025

https://github.com/ModelOriented/auditor

Model verification, validation, and error analysis

classification error-analysis explainable-artificial-intelligence machine-learning model-validation regression-models residuals xai

Last synced: 05 May 2025

https://github.com/dianna-ai/dianna

Deep Insight And Neural Network Analysis

explainable-artificial-intelligence scientific-research

Last synced: 14 Jan 2026

https://github.com/koulanurag/mmn

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

atari bottleneck deep-reinforcement-learning explainable-artificial-intelligence finite-state-machine interpretability moore-machine pytorch quantization recurrent-neural-networks tomita

Last synced: 08 Oct 2025

https://github.com/yaricom/goneat_ns

This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

artificial-neural-networks augmenting-topologies explainable-ai explainable-artificial-intelligence golang modular-ai neat neuroevolution novelty-search reinforcement-learning-algorithms unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning

Last synced: 05 Apr 2025

https://github.com/karyframling/py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

explainable-ai explainable-artificial-intelligence explainable-ml python

Last synced: 02 Aug 2025

https://github.com/cair/fast-tsetlin-machine-in-cuda-with-imdb-demo

A CUDA implementation of the Tsetlin Machine based on bitwise operators

bitwise-operators cuda explainable-artificial-intelligence gpu-computing pattern-recognition tsetlin-machine

Last synced: 08 Oct 2025

https://github.com/declare-lab/identifiable-transformers

attention-weights explainable-artificial-intelligence explainable-ml text-classification transformer

Last synced: 14 Apr 2025

https://github.com/KaryFramling/py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

explainable-ai explainable-artificial-intelligence explainable-ml python

Last synced: 11 May 2025

https://github.com/yaricom/goeshyperneat

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

artifical-neural-network explainable-artificial-intelligence golang hyperneat modular-ai neat neuroevolution reinforcement-learning unsupervised-learning-algorithms unsupervised-machine-learning

Last synced: 05 Apr 2025

https://github.com/stavrostheocharis/easy_explain

An XAI library that helps to explain AI models in a really quick & easy way

artificial-intelligence explainable-ai explainable-artificial-intelligence gradcam image lrp occlusion xai xai-library yolov8

Last synced: 10 Oct 2025

https://github.com/sbobek/lux

Local Universal Rule-based Explanations

counterfactual-explanations explainability explainable-artificial-intelligence interpretability local-explanations model-agnostic-explanations rule-based-explanations

Last synced: 12 Jan 2026

https://github.com/prclibo/ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

counterfactual-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml face-editing face-generation face-manipulation gan interpretability interpretable-ai interpretable-deep-learning pytorch stylegan2

Last synced: 19 Jan 2026

https://github.com/jwuphysics/sparse-feature-networks

Learning astrophysics with top-k sparse feature networks (SF-Nets)

convolutional-neural-networks explainable-artificial-intelligence galaxy-evolution sparse-coding

Last synced: 14 Apr 2025

https://github.com/namsor/java-naive-bayes-classifier-jnbc

A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)

explain-classifiers explainable-ai explainable-artificial-intelligence leveldb mapdb naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naivebayesclassifier rocksdb

Last synced: 21 Sep 2025

https://github.com/jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

algorithmic-recourse counterfactual-explanations counterfactuals explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml explanations facct2022 feature-attribution feature-importance machine-learning shap shapley shapley-values tree-based xgboost

Last synced: 23 Aug 2025

https://github.com/bessouat40/nginx-reactjs-fastapi-pneumonia-detection

Pneumonia Detection Software with Database

docker docker-compose explainable-ai explainable-artificial-intelligence explainable-deepneuralnetwork healthcare-application healthcare-platform javascript medical-application medical-image-analysis medical-images nginx postgresql python reactjs

Last synced: 26 Sep 2025

https://github.com/henrikbostrom/xrf

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

classification example-based-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml machine-learning random-forest regression

Last synced: 16 Oct 2025

https://github.com/Telefonica/XAIoGraphs

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

artificial-intelligence explainable-artificial-intelligence fairness-ai machine-learning

Last synced: 05 May 2025

https://github.com/telefonica/xaiographs

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

artificial-intelligence explainable-artificial-intelligence fairness-ai machine-learning

Last synced: 26 Aug 2025

https://github.com/dlt3/water-quality-analysis-with-xai

Water quality analysis and interpretation using explainable artificial intelligence

explainable-artificial-intelligence machine-learning pdp shapley-value

Last synced: 25 Mar 2025

https://github.com/pyladiesams/intro-to-explainabilty-in-finance-oct2024

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml shapley-value workshop

Last synced: 23 Sep 2025

https://github.com/dianna-ai/dianna-exploration

This repository contains the expliratory and research work from the DIANNA project

explainable-artificial-intelligence neural-networks

Last synced: 31 Jan 2026

https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap

artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15

Last synced: 21 Apr 2026

https://github.com/zsxkib/most-under-and-over-priced-cars

Determine what influences and drives car prices given technical specs and identify which car(s) are the most under/overpriced and why.

analysis cars-dataset explainable-artificial-intelligence interpretable-machine-learning outlier-detection shap xgboost-regression

Last synced: 05 Apr 2025

https://github.com/emcl-research-itseclab/ssci23-xai-network-traffic

SSCI23 Explainable AI in Network Traffic Classification

classification explainable-ai explainable-artificial-intelligence multiclass-classification multiclass-image-classification network ssci xai

Last synced: 29 Oct 2025

https://github.com/ritu-thombre99/explaining_quanvolution

This work explores whether the quanvolution neural network is explainable by proposing a novel mathematical approach for quantifying explainability

explainability explainable-ai explainable-artificial-intelligence explainable-ml pennylane qml qnn quantum quantum-computing quantum-neural-network quanvolutional

Last synced: 08 Jul 2025

https://github.com/andreasmazur/improvedgnnexplanations

Improve Zorro exlanations for graph neural networks.

deep-learning deep-neural-networks explainability explainable-ai explainable-artificial-intelligence explainable-ml neural-networks

Last synced: 27 Jun 2025

https://github.com/taimoorkhan10/ai-fairness-explainability-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.

ai bias-detection data-science ethical-ai explainable-artificial-intelligence fairness machine-learning mlops model-interpretation open-source python responsible-ai scikit-learn

Last synced: 19 Jan 2026

https://github.com/sayemuzzamansiam/computer-vision-with-xai

computer-vision deep-learning effientnet explainable-ai explainable-artificial-intelligence neural-networks xai

Last synced: 07 Oct 2025

https://github.com/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.

differential-geometry explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml fisher-information-metric gemex manifold model-agnostic model-agnostic-explanations riemannian-geometry riemannian-information-geometry xai

Last synced: 04 Apr 2026

https://github.com/si-cim/cbc-aaai-2025

Deep CBC Models for Prototype Based Interpretability Benchmarks

aaai2025 cbc components computer-vision explainable-ai explainable-artificial-intelligence explainable-ml interpretable-ai interpretable-deep-learning interpretable-machine-learning prototypical-learning xai

Last synced: 20 Apr 2026