GitHub topics: shapley-value

Repositories

ModelOriented/shapviz

SHAP Plots in R

Language: R - Size: 41.2 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 97 - Forks: 14

AstraZeneca/awesome-shapley-value

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

Size: 622 KB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 150 - Forks: 12

MKZuziak/SECRYPT_2025_MIA_SHAP

Repository of the paper "Can contributing more put you at a higher leakage risk? The Relationship between Shapley Value and training data leakage risks in Federated Learning"

Language: Jupyter Notebook - Size: 83.4 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

dennismgoetz/MA_predicting_Shapley_values

Implementation part of my master thesis "Predicting Shapley values in routing problems with machine learning"

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

aai-institute/pyDVL

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

Language: Python - Size: 435 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 124 - Forks: 7

ModelOriented/treeshap

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

Language: R - Size: 19.7 MB - Last synced at: 17 days ago - Pushed at: 10 months ago - Stars: 84 - Forks: 24

benedekrozemberczki/shapley

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

Language: Python - Size: 826 KB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 220 - Forks: 35

nredell/ShapML.jl

A Julia package for interpretable machine learning with stochastic Shapley values

Language: Julia - Size: 529 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 90 - Forks: 8

messierandromeda/Bachelor-Thesis

This repository contains the graph neural networks built with PyTorch Geometric that are used in my bachelor thesis.

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

kuffmode/msa

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

Language: Python - Size: 94 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 18 - Forks: 1

haghish/shapley

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

Language: R - Size: 6.17 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 1

hi-paris/XPER

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

Language: Python - Size: 8.26 MB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 16 - Forks: 0

dominance-analysis/dominance-analysis

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.

Language: Python - Size: 4.54 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 160 - Forks: 59

myselftaimoor/cf-score

This research project implements a Flask API to predict energy consumption based on daily activities, using a machine learning model. It provides predictions and SHAP values for feature importance, offering insights into the carbon footprint from various actions.

Language: Python - Size: 8.47 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

himeinhardt/MatTuGames

A Matlab Toolbox for Cooperative Game Theory

Language: MATLAB - Size: 15.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 39 - Forks: 11

Parag000/XAI-Breast-Cancer-Detection

This project develops an explainable AI model for breast cancer detection, emphasizing transparency and feature importance. It uses feature masking, cooperative game theory, and SHAP values to analyze model behavior. The goal is to make predictions interpretable and actionable for medical applications.

Language: Jupyter Notebook - Size: 689 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nredell/shapFlex

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

Language: R - Size: 2.13 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 74 - Forks: 7

das-amlan/Predicting-Customer-Insurance-Costs-Uncovering-the-Drivers-of-Insurance-Costs-with-XAI

Predicting customer insurance costs using machine learning and explainable AI to uncover the key drivers of insurance costs

Language: Jupyter Notebook - Size: 604 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

brickmanlab/proks-salehin-et-al

Deep Learning Based Models for Preimplantation Mouse and Human Development

Language: Jupyter Notebook - Size: 76.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

pyladiesams/intro-to-explainabilty-in-finance-oct2024

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

Language: Jupyter Notebook - Size: 7.48 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 2

jluchman/domin

Dominance Analysis: Stata Implementation

Language: Stata - Size: 206 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 2

gvnberaldi/GameTheoryOptimizer

An efficient approach to solving graph-based game theory problems, featuring efficient algorithms for Shapley Value computation, Nash Equilibria, and mechanism design to incentivize truthful strategies.

Language: Jupyter Notebook - Size: 507 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

reyhanhosavci/Shapley_Value

This script focuses on explaining a pre-trained CNN’s predictions on the MedMNIST dataset using Deep SHAP. Shapley values are computed for each pixel, summed to create a single Shapley score per image, and saved alongside labels in CSV files for interpretability in medical image classification.

Language: Python - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

anurima-saha/Text-Classification

Wine reviews used to determine the type of wine training on imbalanced data using classification algorithms like SVM, Naive Bayes and Random Forest Classifier. Neural Network (CNN, RNN and LSTM) and LLM models (DistilBERT and RoBERTa) were also used followed by error analysis using SHAP.

Language: HTML - Size: 3.05 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

akassharjun/ShapleyValueFL

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

Language: Python - Size: 16.6 KB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 3

arkanivasarkar/Enhancing-Drug-Safety-using-Explainable-AI

Improving drug safety prediction using Explainable AI

Language: Python - Size: 308 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

michelelagreca/X-Ray-images-classification Fork of matteoNunz/X-Ray-images-classification

Project of the 'Applied AI in Biomedicine' Course, aiming on classifing X-ray patients images in Normal, Tuberculosis or Pneumonia, and explaining the result with XAI.

Language: Jupyter Notebook - Size: 7.97 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Pranav2092/Intrustion-Detection-Using-Modified-Tree-SHAP

Language: Jupyter Notebook - Size: 118 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

jluchman/domir

Tools to Support Relative Importance Analysis

Language: R - Size: 4.61 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 5 - Forks: 3

RozaAbolghasemi/User_Contribution_GRS

Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences

Language: Python - Size: 103 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

RozaAbolghasemi/Shaply_GRS

Group Recommendation Systems with Diversity-based Clustering and Game Theory

Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

afairless/binary_classification_shap

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

Language: Python - Size: 22.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

jluchman/domme

Dominance analysis for multiple equation models in Stata

Language: Stata - Size: 62.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

cndolo/fbas-reward-distributor

Rank nodes in an FBAS like Stellar using the Shapley value and other node centrality measures.

Language: Rust - Size: 229 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

dlt3/Water-Quality-analysis-with-XAI

Water quality analysis and interpretation using explainable artificial intelligence

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

easeml/datascope

Measuring data importance over ML pipelines using the Shapley value.

Language: Python - Size: 40.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 34 - Forks: 4

aai-institute/re-classwise-shapley

Code for the reproduction of Class-wise Shapley paper from Schoch, Xu, Ji [2022].

Language: TeX - Size: 37 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

himeinhardt/TuGames

A Mathematica Package for Cooperative Game Theory

Language: Mathematica - Size: 43.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 11 - Forks: 0

JoranMichiels/decomposition-shap

Explain model and feature dependencies by decomposition of SHAP values

Language: Python - Size: 203 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

Magic8763/TPMP

將預訓練模型作為待售商品，以模型準確度與訓練集為依據的兩階段預測模型定價框架。

Language: Python - Size: 379 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

halepino/WorkplaceCulture_DataMining

ML modeling and feature importance analysis conducted to identify/inform company practices related work interference due to mental health.

Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ailab-kyunghee/WWW

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]

Language: Python - Size: 14.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

LaurentVeyssier/Udacity-Predict-Customer-Churn-with-Clean-Code

Udacity project#1 machine Learning DevOps Engineer Nano degree

Language: Jupyter Notebook - Size: 6.19 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

josedv82/NBA_Schedule_XGBoost_Classifier

Predicting NBA game outcomes using schedule related information. This is an example of supervised learning where a xgboost model was trained with 20 seasons worth of NBA games and uses SHAP values for model explainability.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

mayer79/permshap

Permutation SHAP

Language: R - Size: 1.5 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Mejdik/mapspades

Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.

Language: Jupyter Notebook - Size: 53 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Magic8763/2phase_model_pricing

將預訓練模型作為待售商品，以模型準確度與訓練集為依據的兩階段預測模型定價框架。

Size: 127 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

zaaachos/Overfit-level-I

Multi-Class Prediction of Obesity Risk ML App

Language: Jupyter Notebook - Size: 9.85 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jrkinley-zz/game-theory-attribution

Game Theory model for multichannel marketing attribution

Language: Jupyter Notebook - Size: 60.5 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 9

githubjacky/bitcoin-variance-analysis

This is a course project predicting the price of Bitcoin and some analysis of its variation.

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hsvgbkhgbv/shapley-q-learning

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

Language: Python - Size: 228 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 12

DavidGonzalezFernandez/XAI_exercises

Code to solve the activities on our XAI lectures.

Language: Jupyter Notebook - Size: 4.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

wiegertj/BAD

Tool for estimating the difficulty of phylogenetic placements

Language: Python - Size: 4.29 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Weixin-Liang/dialog_evaluation_CMADE

Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)

Language: Python - Size: 574 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1

fras3c/ag-shapley-mso

An implemetation for computing the Shapley value (in polynomial time) of matching games over bounded treewidth graphs.

Language: HTML - Size: 6.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

iqbalhanif/Multinomial-Classification-with-Shapley-Value

Example of Supervised Machine Learning (Multinomial Classification) using XGBoost and Shapley Value in Python

Language: Jupyter Notebook - Size: 144 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

grigoryangayane/Tranportation_XAI

AI applications can be found in various real-world systems, including vehicle system design and real-time car accident prediction. There is an increasing need to better explain AI-driven processes, especially in terms of potential legal disputes that might result from AI decisions. This analysis addresses this explainability and legal issues.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0