aws / sagemaker-training-toolkit

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Date Created 2019-10-02 (5 years ago)

Commits 490 (last one about a month ago)

Stargazers 500 (0 this week)

Watchers 47 (0 this week)

Forks 126

License apache-2.0

Ranking

RepositoryStats indexes 609,392 repositories, of these aws/sagemaker-training-toolkit is ranked #92,839 (85th percentile) for total stargazers, and #44,942 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,444/122,942.

aws/sagemaker-training-toolkit is also tagged with popular topics, for these it's ranked: python (#4,835/22740), deep-learning (#2,073/8640), machine-learning (#2,057/8200), docker (#1,416/6421), aws (#472/2535), training (#48/221)

Other Information

aws/sagemaker-training-toolkit has 9 open pull requests on Github, 111 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 49 open issues and 28 closed issues.

There have been 80 releases, the latest one was published on 2024-12-09 (about a month ago) with the name v4.8.3.

All Topics

aws docker python training sagemaker deep-learning machine-learning

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156 commits on the default branch (master) since jan '22

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

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updated: 2025-01-28 @ 11:45am, id: 212439434 / R_kgDODKmRig