Code - Feedzai Research

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.

Package

FairGBM

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

Package

TimeSHAP

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

Package

AutoVizuA11y

A React library to automate the creation of accessible data visualizations

GitHub

BAF

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

Kaggle

FiFAR

A Fraud Detection Dataset for Learning to Defer

GitHub