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shap /shap

A game theoretic approach to explain the output of any machine learning model.

machine-learning deep-learning gradient-boosting interpretability shapley shap explainability

UpdatedMar 15, 2025
Jupyter Notebook

MAIF /shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

python machine-learning transparency lime interpretability ethical-artificial-intelligence explainable-ml shap explainability

UpdatedFeb 13, 2025
Jupyter Notebook

oegedijk /explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

dashboard plotly dash data-scientists model-predictions interactive-plots interactive-dashboards xai inner-workings shap explainer xai-library shap-values permutation-importances

UpdatedDec 29, 2024
Python

cerlymarco /shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

feature-selection model-selection xgboost hyperparameter-optimization lightgbm parameter-tuning shap

UpdatedJun 8, 2024
Jupyter Notebook

linkedin /FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

machine-learning random-forest xgboost lightgbm interpretability explainable-ai shap

UpdatedJun 26, 2023
Python

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

UpdatedMar 17, 2025
Python

jiangnanboy /learning_to_rank

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.

python lightgbm learning-to-rank shap

UpdatedSep 11, 2022
Python

predict-idlab /powershap

A power-full Shapley feature selection method.

data-science machine-learning feature-selection shap

UpdatedMay 3, 2024
Python

feedzai /timeshap

TimeSHAP explains Recurrent Neural Network predictions.

rnn shap explainability shapley-values

UpdatedDec 21, 2023
Jupyter Notebook

tvdboom /ATOM

Automated Tool for Optimized Modelling

visualization python data-science machine-learning scikit-learn modelling model-predictions data-exploration data-pipeline interactive-visualizations automl mlflow shap dagshub

UpdatedJul 15, 2024
HTML

awesome-shapley-value

AstraZeneca /awesome-shapley-value

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

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

UpdatedAug 8, 2022

ing-bank /probatus

SHAP RFE(CV)-based validation for (multiclass) linear and tree-based models.

data-science machine-learning statistics data-analysis tree-model multi-class-classification binary-classifiers recursive-feature-elimination shap feature-elimination regressors

UpdatedMar 17, 2025
Python

survex

ModelOriented /survex

Explainable Machine Learning in Survival Analysis

machine-learning r variable-importance biostatistics survival-analysis r-package cox-regression cox-model time-to-event censored-data interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning brier-scores shap explanatory-model-analysis probabilistic-machine-learning explainable-machine-learning

UpdatedJun 15, 2024
R

ShapML.jl

nredell /ShapML.jl

A Julia package for interpretable machine learning with stochastic Shapley values

julia feature-importance shapley interpretable-machine-learning iml shap shapley-value stochastic-shapley-values

UpdatedMay 6, 2024
Julia

ModelOriented /shapviz

SHAP Plots in R

visualization machine-learning rstats explainable-ai xai shap shapley-value

UpdatedJan 19, 2025
R

snehankekre /streamlit-shap

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

machine-learning interpretability shapley shap explainability streamlit streamlit-component

UpdatedJul 21, 2022
Python

ModelOriented /treeshap

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

machine-learning interpretability explainable-artificial-intelligence explainable-ai xai interpretable-machine-learning iml shap explainability shapley-value responsible-ml explanatory-model-analysis

UpdatedJul 25, 2024
R

MI2DataLab /survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

learning model machine variable-importance biostatistics survival-analysis machinelearning survival cox-regression cox-model time-to-event explainable-ai xai interpretable cph brier-scores shap explainable censored probabilistic-machine-learning

UpdatedJan 4, 2024
Jupyter Notebook

Fooling-LIME-SHAP

dylan-slack /Fooling-LIME-SHAP

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

machine-learning paper lime interpretability adversarial-attacks explanations shap post-hoc-explanation fool-lime

UpdatedDec 8, 2022
Jupyter Notebook

shapFlex

nredell /shapFlex

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

package machine-learning r ensemble r-package causality causal-inference feature-importance causal-networks shapley interpretable-machine-learning iml shap shapley-value shapley-values

UpdatedJun 9, 2020
R

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