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: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Trusted-AI%2FAIF360
PURL: pkg:github/Trusted-AI/AIF360
Stars: 2,641
Forks: 884
Open issues: 210
License: apache-2.0
Language: Python
Size: 6.52 MB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: 4 days ago
Pushed at: 9 months ago
Last synced at: 4 days ago
Commit Stats
Commits: 357
Authors: 74
Mean commits per author: 4.82
Development Distribution Score: 0.611
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