https://github.com/ResponsiblyAI/responsibly

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
https://github.com/ResponsiblyAI/responsibly

artificial-intelligence audit bias bias-correction bias-finder bias-reduction data-science ethics fairness fairness-ai fairness-awareness-model fairness-ml fairness-testing machine-bias machine-learning natural-language-processing python

Last synced: 3 months ago
JSON representation

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

• Host: GitHub
• URL: https://github.com/ResponsiblyAI/responsibly
• Owner: ResponsiblyAI
• License: mit
• Created: 2018-08-02T11:31:18.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-11-17T17:33:35.000Z (12 months ago)
• Last Synced: 2024-03-24T00:31:32.518Z (8 months ago)
• Topics: artificial-intelligence, audit, bias, bias-correction, bias-finder, bias-reduction, data-science, ethics, fairness, fairness-ai, fairness-awareness-model, fairness-ml, fairness-testing, machine-bias, machine-learning, natural-language-processing, python
• Language: Python
• Homepage: http://docs.responsibly.ai
• Size: 33 MB
• Stars: 88
• Watchers: 6
• Forks: 20
• Open Issues: 12
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

Awesome Lists containing this project

• awesome-production-machine-learning - responsibly - Toolkit for auditing and mitigating bias and fairness of machine learning systems (Explaining Black Box Models and Datasets)
• Awesome-AIML-Data-Ops - responsibly - Toolkit for auditing and mitigating bias and fairness of machine learning systems (Explaining Black Box Models and Datasets)
• awesome-production-machine-learning - responsibly - Toolkit for auditing and mitigating bias and fairness of machine learning systems (Explaining Black Box Models and Datasets)