rai-project / mlmodelscope

MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.

Date Created 2017-04-22 (7 years ago)

Commits 873 (last one 5 years ago)

Stargazers 50 (0 this week)

Watchers 8 (0 this week)

Forks 9

License ncsa

Ranking

RepositoryStats indexes 584,353 repositories, of these rai-project/mlmodelscope is ranked #462,577 (21st percentile) for total stargazers, and #244,799 for total watchers. Github reports the primary language for this repository as JavaScript, for repositories using this language it is ranked #54,398/65,255.

rai-project/mlmodelscope is also tagged with popular topics, for these it's ranked: deep-learning (#6,986/8389), machine-learning (#6,662/7926), architecture (#531/603), hardware (#371/446)

Other Information

rai-project/mlmodelscope has 1 open pull request on Github, 13 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 19 open issues and 25 closed issues.

Homepage URL: http://www.mlmodelscope.org

All Topics

carml hardware profiling architecture dl-framework deep-learning machine-learning machine-learning-models machine-learning-library

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The primary language is JavaScript but there's also others...

updated: 2024-08-20 @ 02:16am, id: 89094385 / R_kgDOBU948Q