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GitHub topics: shapley

jasonjfoster/rollshap

Analytical computation of rolling and expanding Shapley values for time-series data.

Language: C++ - Size: 24.4 KB - Last synced: about 18 hours ago - Pushed: about 20 hours ago - Stars: 3 - Forks: 0

bgreenwell/fastshap

Fast approximate Shapley values in R

Language: R - Size: 99.4 MB - Last synced: 2 days ago - Pushed: 3 months ago - Stars: 112 - Forks: 18

shap/shap

A game theoretic approach to explain the output of any machine learning model.

Language: Jupyter Notebook - Size: 265 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 21,543 - Forks: 3,156

iancovert/shapley-regression

For calculating Shapley values via linear regression.

Language: Python - Size: 707 KB - Last synced: 12 days ago - Pushed: almost 3 years ago - Stars: 58 - Forks: 14

AstraZeneca/awesome-shapley-value

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

Size: 622 KB - Last synced: about 4 hours ago - Pushed: almost 2 years ago - Stars: 133 - Forks: 10

salimamoukou/acv00

ACV 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.

Language: Jupyter Notebook - Size: 19 MB - Last synced: 17 days ago - Pushed: over 1 year ago - Stars: 101 - Forks: 12

nredell/ShapML.jl

A Julia package for interpretable machine learning with stochastic Shapley values

Language: Julia - Size: 529 KB - Last synced: 12 days ago - Pushed: 15 days ago - Stars: 80 - Forks: 7

benedekrozemberczki/shapley

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

Language: Python - Size: 826 KB - Last synced: 20 days ago - Pushed: 11 months ago - Stars: 210 - Forks: 34

iancovert/sage

For calculating global feature importance using Shapley values.

Language: Python - Size: 7.9 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 231 - Forks: 33

awslabs/sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

Language: Python - Size: 2.77 MB - Last synced: 12 days ago - Pushed: about 1 year ago - Stars: 94 - Forks: 27

NorskRegnesentral/shapr

Explaining the output of machine learning models with more accurately estimated Shapley values

Language: R - Size: 40.5 MB - Last synced: about 17 hours ago - Pushed: about 1 month ago - Stars: 135 - Forks: 30

eeghor/mta

Multi-Touch Attribution

Language: Python - Size: 344 KB - Last synced: 8 days ago - Pushed: about 2 years ago - Stars: 97 - Forks: 32

razor-87/shapley

A solution concept in cooperative game theory

Language: Go - Size: 234 KB - Last synced: about 1 month ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

snehankekre/streamlit-shap

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

Language: Python - Size: 4.52 MB - Last synced: 3 months ago - Pushed: almost 2 years ago - Stars: 67 - Forks: 7

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: about 1 month ago - Pushed: almost 4 years ago - Stars: 70 - Forks: 7

ModelOriented/iBreakDown

Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

Language: R - Size: 102 MB - Last synced: 20 days ago - Pushed: 6 months ago - Stars: 79 - Forks: 15

frankhuettner/frankhuettner.github.io---old Fork of alshedivat/al-folio

Personal website of Frank Huettner

Language: JavaScript - Size: 117 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

beckypangpang/horse-racing-prediction-SHAP

This repository contains the code for machine learning models designed to predict the outcomes of horse races, with SHAP (SHapley Additive exPlanations) interpretation incorporated for enhanced model interpretability.

Language: Jupyter Notebook - Size: 3.99 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

elbersb/shapley

Compute Shapley-Shorrocks value decompositions

Language: R - Size: 63.5 KB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 11 - Forks: 4

matthieuvion/match2kd

Save thousands of API calls. Custom model & dataset aiming at predicting a game difficulty score ("lobby avg kd") without calling players' games history stats and profiles.

Language: Jupyter Notebook - Size: 7.27 MB - Last synced: 29 days ago - Pushed: 12 months ago - Stars: 3 - Forks: 0

LamineTourelab/Explainable-AI

In this repository you will fine explainability of machine learning models.

Size: 8.79 KB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

SanaeSaccomano/Machine-Learning

Résumé de mes projets de Machine Learning

Language: Jupyter Notebook - Size: 67.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

tsurubee/shappack

Interpretable machine learning based on Shapley values

Language: Python - Size: 473 KB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 8 - Forks: 0

leo-cb/HeartDiseasePrediction_WebApp

Flask app that predicts the risk of heart disease based on a GBT ML model, and shows the confidence in the prediction as well as the factors behind the prediction (explainability).

Language: Python - Size: 297 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

Oxygen-Oriented-Programming/Clean-Air-Compass-GeoJson-FastAPI

FastAPI for gathering LocationIQ bounding box and PurpleAir Sensor Data then creating interpolated GeoJson using KNN-Regression

Language: Python - Size: 45.9 KB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

jianninapinto/Default-Loan-Predictor

Trained a classifier by using labeled data and SMOTE techniques to predict if a borrower will default on a loan. The machine learning model is intended to be used as a reference tool to help investors make informed decisions about lending to potential borrowers based on their ability to repay. The purpose is to lower risk and maximize profit.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

Language: Jupyter Notebook - Size: 1.33 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 3 - Forks: 3

hiyamgh/Forecasting-Demand-Primary-Health-Care

Predicting Demand in Primary Health Care Centers in Lebanon: Insight from Syrian Refugees Crisis

Language: Jupyter Notebook - Size: 60.1 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 2

uyanik/ShapKa

An open source library for key drivers analysis based on Shapley values and Kano Theory

Language: Jupyter Notebook - Size: 169 KB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 7 - Forks: 1

redichh/ShapleyR

Package for a nice and smoothe usage of the shapley value for mlr

Language: R - Size: 85.9 KB - Last synced: about 1 month ago - Pushed: about 5 years ago - Stars: 25 - Forks: 8

iancovert/removal-explanations

A lightweight implementation of removal-based explanations for ML models.

Language: Python - Size: 485 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 53 - Forks: 10

FernandoLpz/SHAP-Classification-example

This repository contains an example of how to implement the shap library to interpret a machine learning model.

Language: Jupyter Notebook - Size: 171 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 8 - Forks: 2

shubh1608/Jupyter-Notebook-Template

Jupyter Notebook Templates for quick prototyping of machine learning solutions

Language: Jupyter Notebook - Size: 53.6 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 5 - Forks: 5

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 713 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 2

vla6/Stereotyping_ROCDS

Examines fairness metrics for models including gender stereotyping versus group differences due to appropriate predictors. Also explores feature bias mitigation

Language: R - Size: 2.05 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

SeanPLeary/shapley-values-h2o-example

Shapley Values with H2O AutoML Example (ML Interpretability)

Language: HTML - Size: 5.23 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 16 - Forks: 4

mesquita97/Predicting-Funds

A project for Intelligent Systems course done in 2019.3, it's a regression model using the XGBoost algorithm to predict future values ​​of investment fund shares.

Language: Jupyter Notebook - Size: 28.7 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

Related Keywords
shapley 37 machine-learning 16 shap 11 explainability 11 explainable-ai 9 explainable-ml 9 interpretability 9 interpretable-machine-learning 6 xgboost 6 data-science 5 shapley-value 5 feature-importance 4 shapley-values 4 xai 4 python 4 explainable-artificial-intelligence 3 iml 3 random-forest 3 game-theory 3 deep-learning 3 r 3 random-forest-classifier 2 tree-based 2 ensemble 2 facct2022 2 supervised-machine-learning 2 package 2 explanations 2 rcpp 2 explainable-machine-learning 2 counterfactuals 2 shapley-additive-explanations 2 counterfactual-explanations 2 lime 2 scikit-learn 2 algorithmic-recourse 2 classification-report 1 confusion-matrix 1 knn-regression 1 logistic-regression 1 one-hot-encoding 1 partial-dependence-plot 1 h2oai 1 fastapi 1 pytest 1 mongodb 1 github-actions 1 flask 1 docker-compose 1 docker 1 non-negative-matrix-factorization 1 non-linear-classification 1 nlp-machine-learning 1 linear-models 1 latent-semantic-analysis 1 latent-dirichlet-allocation 1 imbalanced-classification 1 markov-model 1 h2o-automl 1 h2o 1 fairness-ml 1 feature-attribution 1 scikit-optimize 1 pycaret 1 pandas-profiling 1 lux 1 jupyter-notebooks 1 imbalanced-learning 1 hyperparameter-optimization 1 mlr 1 kano 1 utility-based-regression 1 uncertainty 1 time-series 1 tensorflow 1 syrian-refugees 1 public-health 1 probabilistic-forecasting 1 imbalanced-data 1 feature-attention 1 smote 1 roc-auc-curve 1 marketing 1 rstats 1 rcpparmadillo 1 sagemaker 1 machinelearning 1 loan-prediction-analysis 1 financial-analysis 1 credit-scoring 1 aws-sagemaker 1 weighted-voting-games 1 voting-game 1 voting-classifier 1 owen 1 game-theory-toolbox 1 ensemble-learning 1 classifier 1 stochastic-shapley-values 1 julia 1