shap
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A game theoretic approach to explain the output of any machine learning model.
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Nov 4, 2025 - Jupyter Notebook
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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Oct 3, 2025 - Jupyter Notebook
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Aug 1, 2025 - Python
Shapley Interactions and Shapley Values for Machine Learning
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Oct 31, 2025 - Python
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
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Jun 8, 2024 - Jupyter Notebook
Fast SHAP value computation for interpreting tree-based models
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Jun 26, 2023 - Python
利用lightgbm做(learning to rank)排序学习,包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.
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Sep 11, 2022 - Python
A power-full Shapley feature selection method.
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Oct 7, 2025 - Python
TimeSHAP explains Recurrent Neural Network predictions.
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Dec 21, 2023 - Jupyter Notebook
Automated Tool for Optimized Modelling
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Jul 15, 2024 - HTML
SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
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Apr 19, 2025 - Python
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
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Aug 8, 2022
Explainable Machine Learning in Survival Analysis
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Jun 15, 2024 - R
SHAP Plots in R
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Oct 13, 2025 - R
SurvSHAP(t): Time-dependent explanations of machine learning survival models
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Jan 4, 2024 - Jupyter Notebook
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
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Jul 25, 2024 - R
A Julia package for interpretable machine learning with stochastic Shapley values
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May 6, 2024 - Julia
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
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Jul 21, 2022 - Python
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
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Dec 8, 2022 - Jupyter Notebook
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
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Jun 9, 2020 - R
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