aws / deep-learning-containers

AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

Date Created 2020-01-17 (4 years ago)

Commits 3,062 (last one 2 days ago)

Stargazers 1,025 (3 this week)

Watchers 57 (0 this week)

Forks 467

License other

Ranking

RepositoryStats indexes 595,856 repositories, of these aws/deep-learning-containers is ranked #50,158 (92nd percentile) for total stargazers, and #35,660 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #7,863/119,431.

aws/deep-learning-containers is also tagged with popular topics, for these it's ranked: docker (#851/6301), pytorch (#807/6025), aws (#275/2496), tensorflow (#434/2255)

Other Information

aws/deep-learning-containers has 3 open pull requests on Github, 3,058 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 90 open issues and 155 closed issues.

There have been 1,000 releases, the latest one was published on 2024-12-18 (3 days ago) with the name v2.1-hf-tgi-2.4.0-pt-2.4.0-inf-gpu-py311.

Homepage URL: https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/what-is-dlc.html

All Topics

aws docker pytorch sagemaker tensorflow

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1,929 commits on the default branch (master) since jan '22

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Languages

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

updated: 2024-12-20 @ 10:03am, id: 234634164 / R_kgDODfw7tA