Azure / AzureML-ContainersLinks
Docker containers for running training scripts on AzureML
☆233Updated 4 months ago
Alternatives and similar repositories for AzureML-Containers
Users that are interested in AzureML-Containers are comparing it to the libraries listed below
Sorting:
- ☆199Updated 3 years ago
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆116Updated 3 years ago
- This is a template used for setting up a machine learning project running on Azure Machine Learning☆33Updated 5 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆92Updated last year
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆82Updated last month
- GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.☆26Updated 4 years ago
- Turning AML compute into Ray cluster☆19Updated 3 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆139Updated last month
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆611Updated last month
- A Repository for the public preview of Responsible AI in AML vNext☆10Updated 3 weeks ago
- GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.☆42Updated 4 years ago
- AzureML customer managed k8s compute samples☆83Updated last year
- Azure plugins for Feast (FEAture STore)☆84Updated 2 years ago
- This repository contains training material related to Azure and Machine Learning☆82Updated 2 years ago
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 4 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆41Updated 3 years ago
- Providing tools and templates to facilitate modern MLOps practices☆89Updated last year
- How to provision Azure Machine Learning workspace and related resources in a secure way☆31Updated 3 years ago
- Scalable solution for ML Observability☆37Updated last year
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- A workshop for doing MLOps on Azure Machine Learning☆36Updated 3 years ago
- Turning AML compute into Ray cluster☆78Updated 4 months ago
- GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.☆20Updated 4 years ago
- Modular and minimalistic MLOps recipes☆71Updated 5 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆52Updated last year
- GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.☆23Updated 3 years ago
- An example repo for provisioning a complete Azure Machine Learning environment through Terraform☆24Updated 3 years ago
- Official Azure Reference Architectures for AI workloads☆75Updated 2 years ago
- Repo for publishing code Samples and CLI samples for BatchAI service☆126Updated 6 years ago