Codebase for "Fair-GAIN" for fair ML predictions.
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Updated
Mar 24, 2023 - Python
Codebase for "Fair-GAIN" for fair ML predictions.
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. 👨🏽🔧
Fairness in Digital Image Forgery Detection System
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.
FACT-AI (Fairness, Accountability, Confidentiality, and Transparency in AI) Project on Debiasing word embeddings
[Official Codes] Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation (RecSys 22)
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.
Demos for my blog, Ponder @ ponder.substack.com
ChaiWithPy - the technical blog with a dash of tea
FairPy: A Python Library for Machine Learning Fairness
All the material needed to implement FairVIC for bias mitigation in deep neural networks.
Jupyter notebook simulating fairness metric results for race/ethnicity group for a process that depends on age only
A collection of notebooks to explore bias, fairness and explainability of machine learning models
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