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.

Date Created 2020-05-12 (4 years ago)

Commits 630 (last one 3 years ago)

Stargazers 87 (0 this week)

Watchers 13 (0 this week)

Forks 12

License apache-2.0

This repository has been archived on Github

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RepositoryStats indexes 589,134 repositories, of these SAP-archive/contextual-ai is ranked #320,653 (46th percentile) for total stargazers, and #166,076 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,936/17,281.

SAP-archive/contextual-ai is also tagged with popular topics, for these it's ranked: machine-learning (#5,078/7978)

Other Information

SAP-archive/contextual-ai has 7 open pull requests on Github, 17 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 13 closed issues.

Homepage URL: https://contextual-ai.readthedocs.io/en/latest

All Topics

explainability machine-learning report-generator

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updated: 2024-11-15 @ 09:31pm, id: 263262009 / R_kgDOD7EPOQ