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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 11 hours 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 (3 months ago)
- Last Synced: 2024-09-21T22:04:30.187Z (3 days 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: 2,410
- Watchers: 89
- Forks: 826
- Open Issues: 199
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.rst
- License: LICENSE