This repository includes all infrastructure deployed as the outer loop from the MLOps v2 solution accelerator.
The repo itself functions as a standalone entity that agnosticly holds all infrastructure requirements for each individual architectual pattern.
Azure services deployed:
Azure Machine Learning Compute
Azure Machine Learning Workspace
| Link | AI Pattern |
|---|---|
| Pattern AML CML | Azure Machine Learning - Classical Machine Learning |
| Pattern AML CV | Azure Machine Learning - Computer Vision |
| [TBD] | Azure Machine Learning - Natural Language Processing |
| [TBD] | Azure Machine Learning / Azure Databricks - Classical Machine Learning |
| [TBD] | Azure Machine Learning / Azure Databricks - Computer Vision |
| [TBD] | Azure Machine Learning / Azure Databricks - Natural Language Processing |
| [TBD] | Azure Machine Learning - Classical Machine Learning using R |
| [TBD] | Azure Machine Learning - Edge AI |
Please visit MLOps v2 for the initial deployment of this outer loop pattern.
Please visit MLOps v2 and file an issue or go to Microsofts internal SharePoint site to hand in any feedback.
This project welcomes contributions and suggestions. To learn more visit the contributing section in the MLOps v2 solution accelerator.
Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
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