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interpretml /interpret

Fit interpretable models. Explain blackbox machine learning.

machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability interpretml

UpdatedOct 24, 2025
C++

jphall663 /awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

python data-science machine-learning awesome r awesome-list transparency fairness ai-safety privacy-enhancing-technologies interpretability interpretable-ai interpretable-ml explainable-ml xai interpretable-machine-learning privacy-preserving-machine-learning machine-learning-interpretability secure-ml reliable-ai

UpdatedNov 5, 2025

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

UpdatedJul 13, 2025
Python

DALEX

ModelOriented /DALEX

moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)

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

UpdatedOct 19, 2025
Python

SelfExplainML /PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

low-code interpretable-machine-learning model-diagnostics ml-workflow

UpdatedMar 30, 2025
Jupyter Notebook

salesforce /OmniXAI

OmniXAI: A Library for eXplainable AI

machine-learning explanation explainable-ai explainable-ml interpretable-machine-learning

UpdatedJul 23, 2024
Jupyter Notebook

pyGAM

dswah /pyGAM

[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

UpdatedOct 9, 2025
Python

lopusz /awesome-interpretable-machine-learning

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

UpdatedMar 19, 2023
Python

pbiecek /xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

interpretability xai interpretable-machine-learning

UpdatedMay 31, 2022
R

jphall663 /interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

UpdatedJun 17, 2024
Jupyter Notebook

shapiq

mmschlk /shapiq

Shapley Interactions and Shapley Values 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

UpdatedOct 31, 2025
Python

h2oai /mli-resources

H2O.ai Machine Learning Interpretability Resources

python data-science machine-learning data-mining h2o xgboost transparency jupyter-notebooks fairness accountability interpretability interpretable-ai interpretable-ml explainable-ml mli xai fatml interpretable-machine-learning iml machine-learning-interpretability

UpdatedDec 12, 2020
Jupyter Notebook

explainx

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

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

UpdatedAug 21, 2024
Jupyter Notebook

pyss3

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:

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

UpdatedOct 16, 2025
Python

modelStudio

ModelOriented /modelStudio

📍 Interactive Studio for Explanatory Model Analysis

visualization learning r ai interactive model machine human interactivity interpretability explainable-ai xai model-visualization interpretable interpretable-machine-learning iml explainable explanatory-model-analysis explainable-machine-learning

UpdatedAug 31, 2023
R

adversarial-explainable-ai

hbaniecki /adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

security model evaluation deep adversarial defense attacks interpretability robustness adversarial-machine-learning adversarial-examples counterfactual adversarial-attacks explainable-ai xai interpretable interpretable-machine-learning iml explainability responsible-ai

UpdatedNov 30, 2024

salesforce /ETSformer

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

UpdatedMay 10, 2024
Python

yewsiang /ConceptBottleneck

Concept Bottleneck Models, ICML 2020

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

UpdatedFeb 24, 2023
Python

idealo /cnn-exposed

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

machine-learning computer-vision deep-learning neural-network explainable-ai interpretable-machine-learning

UpdatedDec 18, 2024
Jupyter Notebook

jrieke /cnn-interpretability

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

machine-learning deep-learning cnn mri medical-imaging convolutional-neural-networks alzheimers-disease interpretability alzheimer-disease-prediction interpretable-machine-learning visualization-methods

UpdatedJul 5, 2019
Jupyter Notebook

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