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GitHub / Trusted-AI / AIF360

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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Trusted-AI%2FAIF360

Stars: 2,314
Forks: 815
Open Issues: 192

License: apache-2.0
Language: Python
Repo Size: 6.51 MB
Dependencies: 46

Created: almost 6 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: 29 days ago

Commit Stats

Commits: 339
Authors: 71
Mean commits per author: 4.77
Development Distribution Score: 0.628
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Trusted-AI/AIF360

Topics: ai, artificial-intelligence, bias, bias-correction, bias-detection, bias-finder, bias-reduction, codait, deep-learning, discrimination, fairness, fairness-ai, fairness-awareness-model, fairness-testing, ibm-research, ibm-research-ai, machine-learning, python, r, trusted-ai

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    Dependencies
    setup.py pypi