23 results for “topic:ml-fairness”
Source code/webpage/demos for the What-If Tool
ZK Proofs for Model Fairness
No description provided.
Fairness and bias detection library for Elixir AI/ML systems
Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias in machine learning (ML) models throughout the AI application lifecycle.
No description provided.
"My journey through computer vision basics. This repo contains organized code snippets, exercises, and examples demonstrating core OpenCV functionalities, from reading images to implementing filters."
No description provided.
No description provided.
No description provided.
Official codebase for the paper "Synthetic Data for Fairness: Bias Mitigation in Facial Attribute Recognition" (IEEE, 2025). Includes an automated pipeline for generating, labeling, and evaluating synthetic facial datasets under demographic control using SD/GAN + fairness metrics.
No description provided.
Tools to assess fairness and mitigate unfairness in sociolinguistic auto-coding
No description provided.
No description provided.
Advanced Computer Vision Projects: YOLOv8 Real-time Tracking and YOLOv5 Object Detection
Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.
No description provided.
No description provided.
No description provided.
Analise de Fairness em ML usando metrica ABLNI com dataset Pima Diabetes - SDK completo com visualizacoes e relatorios
No description provided.
📊 Analyze fairness in Machine Learning models using the Pima Diabetes dataset, featuring metrics, visualizations, and comprehensive reports for informed decision-making.