shapley-value

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benedekrozemberczki /shapley

Sponsor

Star218

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

classifier machine-learning deep-learning random-forest ensemble ensemble-learning game-theory voting-classifier random-forest-classifier explainable-ai explainable-ml weighted-voting-games shapley owen shapley-value game-theory-toolbox voting-game

UpdatedJul 1, 2023
Python

dominance-analysis /dominance-analysis

Star160

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

feature-selection logistic-regression feature-engineering regression-models predictor multiple-regression feature-importance classification-model relative-importance dominance-analysis r-square shapley-value keydrivers dominance dominance-statistics predictor-importance pseudo-r-square

UpdatedAug 17, 2023
Python

AstraZeneca /awesome-shapley-value

Star147

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

aai-institute /pyDVL

Star115

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

machine-learning game-theory data-cleaning data-quality banzhaf-index influence-functions robust-machine-learning shapley-value data-valuation data-centric-ai transferlab least-core data-pruning

UpdatedMar 18, 2025
Python

nredell /ShapML.jl

Star91

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

Star90

SHAP Plots in R

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

UpdatedJan 19, 2025
R

ModelOriented /treeshap

Star83

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

nredell /shapFlex

Star74

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

hsvgbkhgbv /shapley-q-learning

Star46

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.

q-learning interpretability multiagent-reinforcement-learning starcraft2 marl shapley-value

UpdatedDec 4, 2023
Python

himeinhardt /MatTuGames

Star39

A Matlab Toolbox for Cooperative Game Theory

kernel optimization parallel-computing linear-programming game-theory matlab-functions matlab-toolbox convex-programming game-theory-algorithms shapley-decomposition shapley-value game-theory-toolbox cooperative-games solution-concepts game-properties nucleolus pre-kernel modiclus conic-optimization

UpdatedFeb 15, 2025
MATLAB

easeml /datascope

Star38

Measuring data importance over ML pipelines using the Shapley value.

machine-learning data-debugging shapley-value

UpdatedFeb 5, 2025
Python

ajsanjoaquin /Shapley_Valuation

Star27

PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]

machine-learning pytorch game-theory deeplearning fairness training-data interpretable-deep-learning explainable-ai interpretable-machine-learning fairness-ai pytorch-implementation fairness-ml shapley-value training-data-curation data-valuation

UpdatedJan 21, 2022
Python

akassharjun /ShapleyValueFL

Star26

A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.

machine-learning game-theory federated-learning shapley-value incentive-mechanism

UpdatedDec 10, 2023
Python

BUAA-BDA /FedShapley

Star22

Profit Allocation for Federated Learning

federated-learning shapley-value

UpdatedApr 27, 2020
Python

kuffmode /msa

Star17

Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).

python artificial-neural-networks causality gametheory shapley-value brainmapping

UpdatedJun 19, 2024
Python

pringlesinghal /GreedyFed

Star17

Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"

monte-carlo-sampling federated-learning shapley-value

UpdatedDec 17, 2023
Python

hi-paris /XPER

Star16

A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

machine-learning performance-metrics interpretability shap explainability shapley-value

UpdatedNov 28, 2024
Python

haghish /shapley

Star16

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

machine-learning machine-learning-algorithms feature-selection feature-extraction class-imbalance shapely feature-importance shap shapley-decomposition shapley-value shapley-values shap-values shapley-additive-explanations shap-analysis class-imbalance-problem shapleyvalue weighted-shapley weighted-shap weighted-shap-confidence-interval weighted-shapley-ci

UpdatedMar 18, 2025
R

ailab-kyunghee /WWW

Star15

This is the official source code for CVPR 2024 paper [WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts]

uncertainty-estimation interpretability explainable-ai shapley-value

UpdatedMar 26, 2024
Python

YongHyun-Ahn /LINe-Out-of-Distribution-Detection-by-Leveraging-Important-Neurons

Star13

LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)

shapley-value ood-detection neuron-contribution

UpdatedJun 13, 2023
Python

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