❗ This repository has been archived, and no additional maintenance, development, bug fixes, or security fixes should be expected. No issues or pull requests will be addressed on this repository going forward. This repository remains visible for historical reference, but we do not support or recommend usage of the contents of this repository. If you fork this repository, please be mindful to respect the licensing and copyright attribution of its contents, as archiving the repository does not change the ownership or permissions of the contents.

⚠️ Warning: This repository is experimental software designed for trial use. It may change significantly in the future and there is no guarantee of support. Please do use it and give us feedback on what we could improve, but take its experimental nature into account.

SageMaker Example Notebooks Testing

A continuous integration (CI) system for Jupyter notebooks, built using Amazon SageMaker.

📚 Background

Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models.

The SageMaker example notebooks are Jupyter notebooks that demonstrate the usage of Amazon SageMaker.

This SageMaker Example Notebooks Testing repository contains the code for the open-source CI system for the example notebooks. It can be repurposed to build a CI system for your own Jupyter notebooks on SageMaker.

⚖️ License

This library is licensed under the Apache 2.0 License. For more details, please take a look at the LICENSE file.

🤝 Contributing

Contributions are welcome! Please read our contributing guidelines if you'd like to open an issue or submit a pull request.