awesome-fairness-in-ai and AI_fairness
These are ecosystem siblings—one is a curated index/discovery resource for fairness-in-AI tools and methodologies, while the other is a standalone repository providing direct implementations of bias detection and mitigation techniques that would itself be catalogued within such a collection.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
23/25
Maintenance
0/25
Adoption
5/25
Maturity
9/25
Community
18/25
Stars: 332
Forks: 65
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Stars: 14
Forks: 12
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About awesome-fairness-in-ai
datamllab/awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
About AI_fairness
Ali-Alameer/AI_fairness
This GitHub repository offers resources to create fair and unbiased AI systems, including libraries, tools and tutorials on identifying and mitigating bias in machine learning models and implementing fairness in AI.
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