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Official implementations of the algorithms proposed in paper "Multi-Output Distributional Fairness via Post-Processing"

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Multi-Output Distributional Fairness via Post-Processing

Official implementations of the algorithms proposed in paper "Multi-Output Distributional Fairness via Post-Processing"

Credit: The code is built on the package "Free-Support-Barycenters"

Installation

git clone git@github.com:GangLii/TAB.git
pip install POT pandas numpy scipy matplotlib scikit-learn

Examples

We provide two examples to show how to apply our algorithms to post-processing. Please refer to Toy Example.ipynb and Example for CelebA.ipynb for details.

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Official implementations of the algorithms proposed in paper "Multi-Output Distributional Fairness via Post-Processing"

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