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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 11 days 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 about a month 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
176 commits to master branch, last one 5 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
372 commits to main branch, last one 4 months ago