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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.
Created
2018-08-22
438 commits to main branch, last one about a month ago
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
cvpr
smpl
dataset
2d-to-3d
cvpr2020
3d-human-pose
deep-learning
annotaton-tool
synthetic-data
bias-correction
kinematic-trees
data-augmentation
3d-computer-vision
3d-pose-estimation
human-pose-estimation
evolutionary-algorithms
geometric-deep-learning
feed-forward-neural-networks
generalization-on-diverse-scenes
Created
2020-02-28
96 commits to master branch, last one 3 years ago
Climate science package for Julia
Created
2016-12-12
1,441 commits to master branch, last one 3 months ago
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Created
2018-08-02
294 commits to master branch, last one 3 years ago
A collection of bias correction techniques written in Python - for climate sciences.
Created
2022-05-25
181 commits to master branch, last one 4 days ago
Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
Created
2022-09-21
311 commits to main branch, last one about a year ago
HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.
Created
2023-04-18
374 commits to main branch, last one 18 days ago