A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
-
Updated
May 20, 2024 - Python
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Short description for quick search
Climate science package for Julia
A collection of bias correction techniques written in Python - for climate sciences.
Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climatic daily projections.
Scan your AI/ML models for problems before you put them into production.
Machine Learning Bias Mitigation
Debiasing: Mitigating Algorithmic Facial Bias repository
Multi-Calibration & Multi-Accuracy Boosting for R
Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA
An R package for non-stationary meteorological drought monitoring
Examples of unfairness detection for a classification-based credit model
Magnetic Resonance Imaging data processing pipelines with a strong emphasis on the diffusion weighted MRI (DWI) modality and tractogram estimation
Bias correction method using quantile mapping
R code for generating the projected 15-min precipitation.
Tools for Modeling Niches and Distributions of Species
Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
Bias correction command-line tool for climatic research written in C++
Add a description, image, and links to the bias-correction topic page so that developers can more easily learn about it.
To associate your repository with the bias-correction topic, visit your repo's landing page and select "manage topics."