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Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
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Sergio Villalobos 8e74ac5392
Merge pull request #2264 from arunsathiya/master 
ci: Use GITHUB_OUTPUT envvar instead of set-output command
 		2024-01-23 08:59:24 -08:00
.github ci: Use GITHUB_OUTPUT envvar instead of set-output command 2024-01-12 22:26:14 -08:00
.vscode Add notebooks for issue mgmt 2023-01-09 23:25:36 -08:00
archive Fixed Python tutorial link 2018-12-05 16:28:10 -08:00
azureml_remote_websocket_server Issue#811 PR comments 2021-02-04 11:18:56 -08:00
media Create media for remote web extension 2022-09-29 13:29:09 -07:00
mnist-vscode-docs-sample Simplify some code 2020-03-11 13:30:51 -07:00
.gitattributes Update .gitattributes 2017-11-19 00:21:33 +08:00
.gitignore Added environment file 2020-01-06 18:27:31 -05:00
EULA.md Updates for Rel0.5.0 2019-04-26 01:19:41 -07:00
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LICENSE-CODE Initial commit 2017-09-19 11:43:33 -07:00
README.md Update README.md 2020-03-18 12:50:29 -07:00
SECURITY.md Microsoft mandatory file 2023-06-02 19:45:51 +00:00
archive.zip Modify Readme and zip the old archive. 2019-08-14 11:26:46 -07:00

README.md

Azure Machine Learning for Visual Studio Code

With the Azure Machine Learning for Visual Studio Code extension you can easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service from the Visual Studio Code interface. Earlier versions of this extension were released under the name Visual Studio Code Tools for AI.

With Azure Machine Learning service, you can:

  • Build and train machine learning models faster, and easily deploy to the cloud or the edge.
  • Use the latest open source technologies such as TensorFlow, PyTorch, or Jupyter.
  • Experiment locally and then quickly scale up or out with large GPU-enabled clusters in the cloud.
  • Speed up data science with automated machine learning and hyper-parameter tuning.
  • Track your experiments, manage models, and easily deploy with integrated CI/CD tooling.

With this extension installed, you can accomplish much of this workflow directly from Visual Studio Code.

Supported Operating Systems

Currently this extension supports the following 64-bit operating systems:

  • Windows
  • macOS
  • Linux Ubuntu (other distros may also work)

Learn more

Support

Support for this extension is provided on our GitHub Issue Tracker. You can submit a bug report, a feature suggestion or participate in discussions.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [pyaiteam@microsoft.com] with any additional questions or comments.

Privacy Statement

The Microsoft Enterprise and Developer Privacy Statement describes the privacy statement of this software.

License

This extension is subject to the terms of the End User License Agreement.