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A Fairness Library primarily targeted at Fair Classification and Fair Representation Learning. Built on top of @pytorch

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AIM Fairness Library

More about AIM Fairness Library

AIM Fairness Library consists of the following compotents

Component Description
aim_fairness contains a dataset wrapper for fairness datasets with X-Y-A structure
aim_fairness.datasets consists of dataloaders and preprocessing scripts of various tabular and image fairness datasets
aim_fairness.metrics consists of traditional fairness metrics (e.g. group fairness, confusion matrices, etc)
aim_fairness.losses WIP. consists of widely used fairness regularizers

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A Fairness Library primarily targeted at Fair Classification and Fair Representation Learning. Built on top of @pytorch

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