Code

Feedzai Research open-source contributions, packages, and projects

Aequitas

A bias auditing and Fair ML toolkit for data scientists, machine learning researchers, and policymakers. Aequitas was started by the Data Science for Social Good Foundation.

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FairGBM

An easy-to-use and lightweight fairness-aware ML algorithm with state-of-the-art performance on tabular datasets.

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TimeSHAP

A model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain.

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AutoVizuA11y

A React library to automate the creation of accessible data visualizations

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BAF

A suite of datasets (published at NeurIPS 2022) with 6 synthetic bank account fraud tabular datasets, to evaluate ML and fair ML

Reporsitory link

FiFAR

A Fraud Detection Dataset for Learning to Defer

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