aws / aws/amazon-sagemaker-examples
Sagemaker Pytorch Boilerplate
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Dear people of Amazon,
I am working on this project: https://github.com/tchaton/sagemaker-pytorch-boilerplate
It should ease anyone work and deployment on SageMaker AWS.
It is still work in progress and will become cleaner.
I was wondering if anyone from AWS be willing to provide me some support (accept free credits for experimentations 👍 ) ! Especially on the server side
I would like to bring all Pytorch Lightning examples to this format and support text, csc, parquet, recordio, etc img, video, pointcloud, etc... for server.
Best regards,
Thomas Chaton

Contributor guide
Research direction
The request points to the external tchaton/sagemaker-pytorch-boilerplate repository and mentions PyTorch Lightning examples and SageMaker server support. Start by reviewing that repository, but the issue names no file, test, specific change, or completion criteria; its broad goals would need to be narrowed before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, pytorch
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100