aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Date Created 2017-10-23 (7 years ago)

Commits 3,149 (last one 3 days ago)

Stargazers 10,150 (9 this week)

Watchers 266 (0 this week)

Forks 6,783

License apache-2.0

Ranking

RepositoryStats indexes 585,332 repositories, of these aws/amazon-sagemaker-examples is ranked #3,840 (99th percentile) for total stargazers, and #4,625 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #90/17,144.

aws/amazon-sagemaker-examples is also tagged with popular topics, for these it's ranked: deep-learning (#154/8403), machine-learning (#167/7939), aws (#21/2472), data-science (#53/2106), reinforcement-learning (#15/1315), jupyter-notebook (#14/611), mlops (#16/413), inference (#10/303), training (#4/213)

Other Information

aws/amazon-sagemaker-examples has 117 open pull requests on Github, 2,416 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 709 open issues and 727 closed issues.

There have been 1 release, the latest one was published on 2020-10-19 (4 years ago) with the name Examples checkpoint prior to website launch.

Homepage URL: https://sagemaker-examples.readthedocs.io

All Topics

aws mlops examples training inference sagemaker data-science deep-learning jupyter-notebook machine-learning reinforcement-learning

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987 commits on the default branch (default) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-23 @ 04:03am, id: 107937815 / R_kgDOBm8AFw