pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
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Updated
Jun 24, 2024 - Python
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.
Explain model and feature dependencies by decomposition of SHAP values
Measuring data importance over ML pipelines using the Shapley value.
將預訓練模型作為待售商品,以模型準確度與訓練集為依據的兩階段預測模型定價框架。
This is the official source code for CVPR 2024 paper [WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts]
Tool for estimating the difficulty of phylogenetic placements
A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
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.
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)
API for ShapEmotionsCorrection project
This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid
A python script to classify Titanic dataset (Survived and not Survived) by applying different Machine Learning Algorithms have been used such as Logistic Regression, SVM, KNN, Decision Tree and Random Forest.
Dilated Convolutional Autoencoder for univariate Time Series
Official implementation of our ICML'22 paper: "On the Convergence of the Shapley Value in Parametric Bayesian Learning Games".
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)
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