118 skills found · Page 1 of 4
marcoancona / DeepExplainA unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
mmschlk / ShapiqShapley Interactions and Shapley Values for Machine Learning
Ekeany / Boruta ShapA Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
iancovert / SageFor calculating global feature importance using Shapley values.
benedekrozemberczki / ShapleyThe official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
feedzai / TimeshapTimeSHAP explains Recurrent Neural Network predictions.
NorskRegnesentral / ShaprExplaining the output of machine learning models with more accurately estimated Shapley values
dominance-analysis / Dominance AnalysisThis 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.
AstraZeneca / Awesome Shapley ValueReading list for "The Shapley Value in Machine Learning" (JCAI 2022)
bgreenwell / FastshapFast approximate Shapley values in R
hsvgbkhgbv / SQDDPGThis is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
iancovert / FastshapAn amortized approach for calculating local Shapley value explanations
salimamoukou / Acv00ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
GillHuang-Xtler / FlPapersPaper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
nredell / ShapML.jlA Julia package for interpretable machine learning with stochastic Shapley values
Affirm / ShparkleySpark implementation of computing Shapley Values using monte-carlo approximation
GenAISHAP / TokenSHAPA framework for interpreting modern AI systems using Monte Carlo Shapley value estimation. Model-agnostic explainability across language models, vision-language models, video understanding, and autonomous agents.
nredell / ShapFlexAn R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
iancovert / Shapley RegressionFor calculating Shapley values via linear regression.
hsvgbkhgbv / Shapley Q LearningThis repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
