DataShapley
Data Valuation Tool
Calculates fair valuation of individual training data points in machine learning models.
Data Shapley: Equitable Valuation of Data for Machine Learning
259 stars
11 watching
66 forks
Language: Python
last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 akashaero/intrinsic-value-calculator | Calculates the intrinsic value of a business based on projected cash flows and growth rates | 36 |
 redichh/shapleyr | An R package for computing Shapley values to analyze feature contributions in machine learning models. | 25 |
 bgreenwell/fastshap | Provides an efficient approach to computing Shapley values for explaining machine learning model predictions. | 116 |
 embodiedgpt/embodiedgpt_pytorch | A PyTorch-based toolkit for creating customized multimedia datasets and handling heterogeneous data for training AI models. | 346 |
 google/ml-fairness-gym | An open-source tool for simulating the long-term impacts of machine learning-based decision systems on social environments | 314 |
 nredell/shapflex | A package for computing asymmetric Shapley values to assess causality in machine learning models | 72 |
 koaning/scikit-fairness | A Python library providing tools and algorithms for fairness in machine learning model development | 29 |
 fairlearn/fairlearn | A tool to assess and mitigate unfairness in AI systems, helping developers ensure their models do not disproportionately harm certain groups of people. | 1,974 |
 seedatnabeel/triage | A framework for auditing and improving regression models by analyzing their training data | 8 |
 benedekrozemberczki/shapley | An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. | 219 |
 megantosh/fairness_measures_code | This repository contains implementations of measures to quantify discrimination in data | 38 |
 letianzj/quanttrader | A Python-based backtesting and live trading package for quantitative traders. | 541 |
 iancovert/sage | A Python package for calculating global feature importance using Shapley values in machine learning models | 256 |
 emoen/machine-learning-for-asset-managers | Implementation of code snippets and exercises from Machine Learning for Asset Managers, focusing on clustering, correlation, density, eigenvalue, and machine learning. | 495 |
 jsmidt/quantpy | A framework for building quantitative finance applications in Python. | 709 |