microsoft / azureml-ops-accelerator
Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOps on Azure leveraging Azure ML.
☆46Updated 11 months ago
Alternatives and similar repositories for azureml-ops-accelerator:
Users that are interested in azureml-ops-accelerator are comparing it to the libraries listed below
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆38Updated 2 years ago
- An example repo for provisioning a complete Azure Machine Learning environment through Terraform☆24Updated 2 years ago
- Scalable solution for ML Observability☆35Updated 9 months ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆71Updated last year
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆89Updated 7 months ago
- Demonstrate samples and good engineering practice for operationalizing machine learning solutions.☆21Updated 3 years ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 4 years ago
- ☆19Updated 2 years ago
- A workshop for doing MLOps on Azure Machine Learning☆35Updated 2 years ago
- This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging …☆37Updated last year
- AzureML customer managed k8s compute samples☆82Updated 7 months ago
- ML Ops demo for Azure Databricks and Azure ML SDK☆21Updated 4 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆127Updated 2 years ago
- Turning AML compute into Ray cluster☆18Updated 2 years ago
- This accelerator was built to provide developers with all of the resources needed to build a solution to identify the top factors for rev…☆28Updated 9 months ago
- ☆28Updated 7 months ago
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.☆15Updated last year
- Template to deploy a Data Product for Batch data processing into a Data Landing Zone of the Data Management & Analytics Scenario (former …☆38Updated last year
- How to provision Azure Machine Learning workspace and related resources in a secure way☆31Updated 2 years ago
- ☆44Updated 2 months ago
- Azure AutoML for Images. AutoML for Images is part of Azure ML. AutoML for images is available in public preview.☆30Updated 3 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆122Updated 3 weeks ago
- under renovation☆31Updated 2 years ago
- ☆23Updated 8 months ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆84Updated last year
- Template to deploy a Data Product for data stream processing into a Data Landing Zone of the Data Management & Analytics Scenario (former…☆36Updated last year
- Template to deploy a Data Product for analytics and data science use-cases into a Data Landing Zone of the Data Management & Analytics Sc…☆77Updated last year
- GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.☆20Updated 3 years ago
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆72Updated 7 months ago