Codebase for "Fair-GAIN" for fair ML predictions.

The Fair Energy AI is an demonstration on how AI models and software relying on them can be transparent and deliver fair results in Energy Management sector.

Resources related to Watson OpenScale

Examining the susceptibility of Fairness Measures to various scenarious of data imbalance

Affevtive Bias in Large Pre-trained Language Models

🔍In recent years the advancement of ML (machine learning) increased automation for tasks in different domains. One of the challanges was an issues with job recruitment systems that demonstrated bias toward female applicants [4]. This repo will investigate some of the techniques used to overcome these challenges. 👨🏽‍🔧

Hmumu classifiers trained to be fair w.r.t. the invariant mass.

A classification model on publicly available Census Bureau data, deployed using FastAPI & Render, with CI/CD incorporated using GitHub Actions.

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

FACT-AI (Fairness, Accountability, Confidentiality, and Transparency in AI) Project on Debiasing word embeddings

This is the implementation for the paper titled: Fairness-aware Naive Bayes Classifier for Data with Multiple Sensitive Features.

Unofficial implementation of paper "Flexibly Fair Representation Learning by Disentanglement"

The aim of the project is to apply different global, local and performance interpretability methods as well as model fairness evaluations to a dataset with protected attributes. The dataset regards traffic violations in Montgomery, Maryland, USA. This is a fork of a group project of my Data Science for Business Master's Degree at HEC Paris.

Code for paper "A survey on datasets for fairness-aware learning", @ Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (https://doi.org/10.1002/widm.1452). Repository maintained by Tai Le Quy.

fairness constraint with Tensorflow Constrained Optimization in the context of InDian jobs