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27 public repositories
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A data-driven approach to quantify the value of classifiers in a machine learning ensemble.
Updated
Jul 12, 2021
Python
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.
Updated
Jun 17, 2021
Python
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
A Julia package for interpretable machine learning with stochastic Shapley values
Updated
May 6, 2021
Julia
Game Theory model for multichannel marketing attribution
Updated
Nov 7, 2019
Jupyter Notebook
A Matlab Toolbox for Cooperative Game Theory
Updated
Jul 3, 2021
MATLAB
Profit Allocation for Federated Learning
Updated
Apr 27, 2020
Python
Applying ML interpretation methods on the pet-finder Kaggle challenge
Updated
Jun 9, 2019
Jupyter Notebook
An open source python package to identify customer satisfaction drivers based on Shapley values and Kano Theory
Updated
Feb 23, 2021
Jupyter Notebook
This repo is the implementation of paper '' SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning ''.
Updated
Jun 3, 2021
Python
A Mathematica Package for Cooperative Game Theory
Updated
May 6, 2020
Mathematica
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)
Updated
May 7, 2021
Python
Interpretable machine learning based on Shapley values
Updated
Jul 20, 2021
Python
Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.
Updated
May 24, 2021
Python
HERALD: An Annotation Efficient Method to Train User EngagementPredictors in Dialogs (ACL 2021)
Updated
May 14, 2021
Python
Dominance analysis for multiple equation models in Stata
Updated
Apr 19, 2021
Stata
Application on Markov Chain and Removal Effect (Attribution Modeling)
Tools to Support Relative Importance Analysis
2018年甜橙金融杯大数据建模大学_初赛——DC竞赛
Updated
Mar 11, 2019
Python
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.
Updated
May 20, 2021
Jupyter Notebook
Dominance Analysis: Stata Implementation
Updated
Feb 19, 2021
Stata
PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]
Updated
Jun 7, 2021
Python
Set of algorithms from System theory and analysis course
Updated
Jul 2, 2021
Python
Search vector Shapley in cooperative game
Updated
Jun 10, 2021
Python
Shapley and Banzhaf vectors of a formal concept
Updated
Apr 20, 2021
Jupyter Notebook
Dilated Convolutional Autoencoder for univariate Time Series
Updated
Jun 22, 2021
Python
Example of Supervised Machine Learning (Multinomial Classification) using XGBoost and Shapley Value in Python
Updated
Oct 10, 2020
Jupyter Notebook
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