Ecosyste.ms: Repos
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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