Projects in Awesome Lists tagged with shapley-value

https://github.com/benedekrozemberczki/shapley

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

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

Last synced: 05 Apr 2025

https://github.com/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.

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

Last synced: 01 May 2025

https://github.com/aai-institute/pyDVL

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

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

Last synced: 11 May 2025

https://github.com/nredell/shapml.jl

A Julia package for interpretable machine learning with stochastic Shapley values

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

Last synced: 10 Apr 2025

https://github.com/nredell/shapflex

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

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

Last synced: 13 Apr 2025

https://github.com/akassharjun/shapleyvaluefl

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

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

Last synced: 23 Apr 2025

https://github.com/kuffmode/msa

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

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

Last synced: 01 May 2025

https://github.com/mayer79/permshap

Permutation SHAP

explainable-ai machine-learning rstats shapley-value xai

Last synced: 30 Mar 2025

https://github.com/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.

h2o h2oai nba-analytics nba-stats shap shapley-additive-explanations shapley-value supervised-learning xgboost xgboost-algorithm

Last synced: 29 Mar 2025

https://github.com/dlt3/water-quality-analysis-with-xai

Water quality analysis and interpretation using explainable artificial intelligence

explainable-artificial-intelligence machine-learning pdp shapley-value

Last synced: 25 Mar 2025

https://github.com/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.

explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml shapley-value workshop

Last synced: 09 Apr 2025

https://github.com/dennismgoetz/ma_predicting_shapley_values

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

dbscan-clustering deep-neural-networks kernel-machines multilayer-perceptron regression-models shapley-value supervised-machine-learning travelling-salesman-problem xgboost

Last synced: 16 May 2025

https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap

artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15

Last synced: 06 Apr 2025

https://github.com/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.

distill-bert llm llm-finetuning naive-bayes-classifier random-forest-classifier rnn-pytorch roberta-model shapley-value svm-classifier text-classification transfer-learning

Last synced: 26 Feb 2025

https://github.com/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

hyperparameter-tuning linear-regression machine-learning python random-forest shapley-value xai

Last synced: 24 Mar 2025

https://github.com/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.

banzhaf-index breast-cancer-prediction game-theory-algorithms python remove-individual rexplain shapley-value xai