63 строки
4.2 KiB
Markdown
63 строки
4.2 KiB
Markdown
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# Azure MLOps (v2) solution accelerator: Infrastructure
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This repository includes all infrastructure deployed as the outer loop from the [MLOps v2](https://github.com/Azure/mlops-v2) solution accelerator.
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The repo itself functions as a standalone entity that agnosticly holds all infrastructure requirements for each individual architectual pattern.
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## ℹ️ Infrastructure Deployment
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Azure services deployed:
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[Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning/)
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[Azure Machine Learning Compute](https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target)
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[Azure Machine Learning Workspace](https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace)
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## 📐 Pattern Architectures: Key concepts
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| Link | AI Pattern |
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| ------------------------------------------------------- | ----------------------------------------------------------------------- |
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| [Pattern AML CML](https://github.com/Azure/mlops-v2/blob/main/documentation/architecturepattern/AzureML_CML_Architecture.png) | Azure Machine Learning - Classical Machine Learning |
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| [Pattern AML CV](https://github.com/Azure/mlops-v2/blob/main/documentation/architecturepattern/AzureML_SupervisedCV_Architecture.png) | Azure Machine Learning - Computer Vision |
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| [TBD] | Azure Machine Learning - Natural Language Processing |
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| [TBD] | Azure Machine Learning / Azure Databricks - Classical Machine Learning |
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| [TBD] | Azure Machine Learning / Azure Databricks - Computer Vision |
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| [TBD] | Azure Machine Learning / Azure Databricks - Natural Language Processing |
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| [TBD] | Azure Machine Learning - Classical Machine Learning using R |
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| [TBD] | Azure Machine Learning - Edge AI |
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## 👤 Getting started
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Please visit [MLOps v2](https://github.com/Azure/mlops-v2) for the initial deployment of this outer loop pattern.
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## ‼️ Feedback or Issues
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Please visit [MLOps v2](https://github.com/Azure/mlops-v2) and file an **issue** or go to Microsofts internal SharePoint site to hand in any feedback.
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## Contributing
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This project welcomes contributions and suggestions. To learn more visit the contributing section in the [MLOps v2](https://github.com/Azure/mlops-v2) solution accelerator.
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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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When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
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## Trademarks
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This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
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trademarks or logos is subject to and must follow
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[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general).
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Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
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Any use of third-party trademarks or logos are subject to those third-party's policies.
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