shapley-values
There are 51 repositories under shapley-values topic.
feedzai/timeshap
TimeSHAP explains Recurrent Neural Network predictions.
bgreenwell/fastshap
Fast approximate Shapley values in R
GillHuang-Xtler/flPapers
Paper 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/shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
jpmorganchase/cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
tnurbek/shapfed
[IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning
haghish/shapley
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
harris-chris/joint-shapley-values
Source code for the Joint Shapley values: a measure of joint feature importance
annalectnl/ml-in-mmm
In this paper we researched the accuracy and usability of machine learning models for MMM analyses.
jpmorganchase/cf-shap-facct22
Counterfactual Shapley Additive Explanation: Experiments
RaoulHeese/qshaptools
Experimental toolbox for quantum Shapley values.
Weixin-Liang/dialog_evaluation_CMADE
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)
chiarabales/unsupervised_sv
Reference implementation of the paper Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
lujainibrahim/ecg-view-II-machine-learning
This repository is the official implementation of Explainable Prediction of Acute Myocardial Infarction using Machine Learning and Shapley Values published in IEEE Access in November 2020.
Weixin-Liang/HERALD
HERALD: An Annotation Efficient Method to Train User Engagement Predictors in Dialogs (ACL 2021)
cloudexplain/xaiflow
Create beautiful, interactive charts for explainable AI using MLFlow
ncaptier/radshap
A radiomic interpretation tool based on Shapley values
CCaribe9/SHAPEffects
Code and experiments related to SHAPEffects paper: 'A feature selection method based on Shapley values robust to concept shift in regression'
sander-sn/anatomy
Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models
abdoush/SurvSHAP
A Proxy-Based Algorithm for Explaining Survival Models with SHAP
tpoisot/InterpretableSDMWithJulia
Slides for the "Interpretable SDM with Julia" workshop
carpentries-incubator/fair-explainable-ml
Fair and explainable ML workshop
Zapiano/SAShE.jl
Package to perform sensitivity analysis using Shapley Effect.
dimachine/Shap4JSM
Shapley values for JSM-method in terms of Concept Lattices (FCA)
chiarabales/geneset_SV
Reference implementation of the paper Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis
haghish/HMDA
Holistic Multimodel Domain Analysis: A New Paradigm for Robust, Transparent, And Reliable Exploratory Machine Learning that Considers Cross-Model Variability in Feature Importance Assessment
mrmightyq/Exploring-CatBoost-and-SHAP-Values-for-Housing-Data
Using SHAP values to explain model features
RozaAbolghasemi/User_Contribution_GRS
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
sachin17git/Malware-detection-ML
Android malware detection using machine learning.
SeanPLeary/unsupervised-anomaly-model-shapley-explanations
An investigation on the use of shapley explanations for unsupervised anomaly-detection models
ZiskinZiv/Migration-analysis
Migration networks and housing prices analysis and ML tools
bgreenwell/SampleSHAP.jl
A Julia port of the fastshap package in R
Edudeiko/heart_disease_prediction
Heart disease prediction by exploring different models, and feature importance visualization
himasai97/ML_Approaches
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
mattShorvon/ARFs_for_Shapley_Vals
A method for conditional shapley value estimation, built off the shapr package: https://github.com/NorskRegnesentral/shapr/tree/master
RozaAbolghasemi/Shaply_GRS
Group Recommendation Systems with Diversity-based Clustering and Game Theory