MachineLearningNotebooks
mlops-v2
| MachineLearningNotebooks | mlops-v2 | |
|---|---|---|
| 2 | 3 | |
| 3,958 | 451 | |
| 0.7% | 3.5% | |
| 5.6 | 3.7 | |
| 6 days ago | 16 days ago | |
| Jupyter Notebook | Shell | |
| MIT License | MIT License |
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MachineLearningNotebooks
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Multiple model loading on a Online Fully managed endpoint
I found an example using the python SDK v2:
- I Took The Azure DP-100 exam today and passed it
mlops-v2
- MLOps: Machine learning model management - Azure Machine Learning | Microsoft Learn
- Need help with Execute Python Script module in Azure ML Designer
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Create a Managed ML Inference Endpoint and deployment using Terraform
I would create a second step or stage for deploying the endpoint. There is no benefit to try and force terraform to do something it wasn't designed for. You can run AZ CLI commands from terraform, but I don't have experience doing so. Check out this mlops accelerator - https://github.com/Azure/mlops-v2 You can see how they use multiple pipeline for setting up the infrastructure then training and deploying the model.
What are some alternatives?
azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Time-Series-Library - A Library for Advanced Deep Time Series Models.
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
Data-Engineering-Roadmap - Roadmap for Data Engineering
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
azure - Azure-related repository
MLOps - MLOps examples
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
SynapseML - Simple and Distributed Machine Learning