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interpretml / DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

machine-learning deep-learning explainable-ai explainable-ml xai interpretable-machine-learning counterfactual-explanations

Updated Jul 13, 2025
Python

ModelOriented / DALEX

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moDel Agnostic Language for Exploration and eXplanation

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

Updated Jul 15, 2026
Python

dswah / pyGAM

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[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

python data-science machine-learning scientific-computing hacktoberfest gams interpretable-ai interpretable-ml explainable-ai explainable-ml interpretable-machine-learning

Updated Apr 21, 2026
Python

lopusz / awesome-interpretable-machine-learning

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data-science machine-learning interpretable-ai interpretable-ml explainable-ai xai interpretable-machine-learning

Updated Mar 19, 2023
Python

mmschlk / shapiq

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Shapley Values and Shapley Interactions for Machine Learning

python machine-learning game-theory interpretability feature-importance explainable-ai banzhaf-index shapley interpretable-machine-learning shap explainability feature-attribution feature-interactions shapley-interactions shapiq

Updated Oct 21, 2026
Python

explainX / explainx

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

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

Updated Jul 13, 2026
Python

sergioburdisso / pyss3

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

Updated Oct 16, 2025
Python

salesforce / ETSformer

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PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

deep-learning time-series transformers pytorch forecasting exponential-smoothing time-series-forecasting time-series-decomposition interpretable-machine-learning

Updated Jun 25, 2026
Python

yewsiang / ConceptBottleneck

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Concept Bottleneck Models, ICML 2020

computer-vision concepts interpretability interpretable-machine-learning cub-dataset concept-bottleneck-models osteoarthritis-initiative

Updated Feb 24, 2023
Python

pyc-team / pytorch_concepts

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PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.

machine-learning ai concepts ml pytorch interventions interpretability explainable-ai xai interpretable-machine-learning neurosymbolic concept-based-models

Updated Oct 21, 2026
Python

fzi-forschungszentrum-informatik / TSInterpret

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An Open-Source Library for the interpretability of time series classifiers

time-series interpretability explainable-artificial-intelligence interpretable-ml explainable-ai explainable-ml interpretable-machine-learning counterfactual-explanations feature-attribution

Updated Nov 19, 2025
Python

dylan-slack / TalkToModel

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TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

ai ml machine-learning-library papers explanation dialogue-systems interpretability conversational-ai explainable-artificial-intelligence machine-learning-papers explainable-ml xai interpretable-machine-learning explainability paper-implementation conversationalxai

Updated Aug 3, 2023
Python

VincentGranville / Machine-Learning

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Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.

machine-learning interpretable-ai explainable-ai interpretable-machine-learning

Updated Sep 23, 2026
Python

Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

symbolic symbolic-regression symbolic-computation chaotic-dynamical-systems explainable-ai interpretable-machine-learning sciml mahine-learning ai4science ai-for-science

Updated May 17, 2026
Python

12wang3 / rrl

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The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"