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 (5 years ago)

Commits 3,168 (last one a day ago)

Stargazers 1,053 (1 this week)

Watchers 54 (0 this week)

Forks 486

License other

Ranking

RepositoryStats indexes 630,031 repositories, of these aws/deep-learning-containers is ranked #50,644 (92nd percentile) for total stargazers, and #37,720 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,082/128,534.

aws/deep-learning-containers is also tagged with popular topics, for these it's ranked: docker (#868/6588), pytorch (#817/6207), aws (#274/2593), tensorflow (#428/2300)

Other Information

aws/deep-learning-containers has 8 open pull requests on Github, 3,164 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 93 open issues and 157 closed issues.

There have been 1,000 releases, the latest one was published on 2025-03-20 (2 days ago) with the name v1.20-pt-graviton-sagemaker-2.4.0-inf-cpu-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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Github watchers over time, collection started in '23

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2,035 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: 2025-03-22 @ 02:21pm, id: 234634164 / R_kgDODfw7tA