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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.\n\n![SageMaker](https://github.com/aws/sagemaker-example-notebooks-testing/raw/main/branding/icon/sagemaker-banner.png)\n\n# SageMaker Example Notebooks Testing\n\nA continuous integration (CI) system for Jupyter notebooks, built using Amazon SageMaker.\n\n## :books: Background\n\n[Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a fully managed service for data science and machine learning (ML) workflows.\nYou can use Amazon SageMaker to simplify the process of building, training, and deploying ML models.\n\nThe [SageMaker example notebooks](https://sagemaker-examples.readthedocs.io/en/latest/) are Jupyter notebooks that demonstrate the usage of Amazon SageMaker.\n\nThis **SageMaker Example Notebooks Testing** repository contains the code for the open-source CI system for the example notebooks.\nIt can be repurposed to build a CI system for your own Jupyter notebooks on SageMaker.\n\n## :balance_scale: License\n\nThis library is licensed under the [Apache 2.0 License](http://aws.amazon.com/apache2.0/).\nFor more details, please take a look at the [LICENSE](https://github.com/aws/sagemaker-example-notebooks-testing/blob/main/LICENSE) file.\n\n## :handshake: Contributing\n\nContributions are welcome!\nPlease read our [contributing guidelines](https://github.com/aws/sagemaker-example-notebooks-testing/blob/main/CONTRIBUTING.md)\nif you'd like to open an issue or submit a pull request.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faws%2Fsagemaker-example-notebooks-testing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faws%2Fsagemaker-example-notebooks-testing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faws%2Fsagemaker-example-notebooks-testing/lists"}