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.
FairGBM
An easy-to-use and lightweight fairness-aware ML algorithm with state-of-the-art performance on tabular datasets.
TimeSHAP
A model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain.
AutoVizuA11y
A React library to automate the creation of accessible data visualizations
BAF
A suite of datasets (published at NeurIPS 2022) with 6 synthetic bank account fraud tabular datasets, to evaluate ML and fair ML
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