https://github.com/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.
https://github.com/Trusted-AI/AIF360

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

Last synced: about 1 month ago
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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.

• Host: GitHub
• URL: https://github.com/Trusted-AI/AIF360
• Owner: Trusted-AI
• License: apache-2.0
• Created: 2018-08-22T20:47:15.000Z (about 6 years ago)
• Default Branch: main
• Last Pushed: 2024-07-05T14:45:32.000Z (2 months ago)
• Last Synced: 2024-07-29T22:16:06.115Z (about 1 month ago)
• 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
• Language: Python
• Homepage: https://aif360.res.ibm.com/
• Size: 6.51 MB
• Stars: 2,375
• Watchers: 90
• Forks: 822
• Open Issues: 196
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

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