https://github.com/SAP-archive/contextual-ai

Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.
https://github.com/SAP-archive/contextual-ai

explainability machine-learning report-generator

Last synced: 2 months ago
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Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.

• Host: GitHub
• URL: https://github.com/SAP-archive/contextual-ai
• Owner: SAP-archive
• License: apache-2.0
• Archived: true
• Created: 2020-05-12T07:15:56.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2023-07-23T16:23:34.000Z (11 months ago)
• Last Synced: 2024-04-14T08:59:29.134Z (2 months ago)
• Topics: explainability, machine-learning, report-generator
• Language: Jupyter Notebook
• Homepage: https://contextual-ai.readthedocs.io/en/latest
• Size: 53 MB
• Stars: 85
• Watchers: 13
• Forks: 11
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • Changelog: changelog.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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• awesome-machine-learning-interpretability - contextual-AI - ai?style=social) | "Contextual AI adds explainability to different stages of machine learning pipelines | data, training, and inference | thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.” | (Technical Resources / Open Source/Access Responsible AI Software Packages)