2018年甜橙金融杯大数据建模大学_初赛——DC竞赛
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Updated
Mar 11, 2019 - Python
2018年甜橙金融杯大数据建模大学_初赛——DC竞赛
Applying ML interpretation methods on the pet-finder Kaggle challenge
Game Theory model for multichannel marketing attribution
Application on Markov Chain and Removal Effect (Attribution Modeling)
Profit Allocation for Federated Learning
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Example of Supervised Machine Learning (Multinomial Classification) using XGBoost and Shapley Value in Python
Shapley and Banzhaf vectors of a formal concept
Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.
Search vector Shapley in cooperative game
Set of algorithms from System theory and analysis course
Interpretable machine learning based on Shapley values
Implementation of the algorithm described in the paper "An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data"
Predict probability of default on credit
HERALD: An Annotation Efficient Method to Train User Engagement Predictors in Dialogs (ACL 2021)
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.
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]
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)
A Julia package for interpretable machine learning with stochastic Shapley values
Playground for testing Horizontal Federated Machine Learning systems using the Shapley Value for profit allocation
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