microsoft / ray-on-amlLinks
Turning AML compute into Ray cluster
☆77Updated 2 years ago
Alternatives and similar repositories for ray-on-aml
Users that are interested in ray-on-aml are comparing it to the libraries listed below
Sorting:
- Azure plugins for Feast (FEAture STore)☆82Updated last year
- Support ML teams to accelerate their model deployment to production leveraging Azure☆91Updated last year
- Template for getting started with automated ML Ops on Azure Machine Learning☆129Updated 3 years ago
- Providing tools and templates to facilitate modern MLOps practices☆84Updated 11 months ago
- Turning AML compute into Ray cluster☆18Updated 2 years ago
- Managing Data and Model Drift with Azure Machine Learning☆45Updated 2 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆78Updated last year
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆49Updated last year
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.☆15Updated last year
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆133Updated 2 months ago
- Modular and minimalistic MLOps recipes☆70Updated 5 years ago
- A workshop for doing MLOps on Azure Machine Learning☆35Updated 3 years ago
- A Repository for the public preview of Responsible AI in AML vNext☆10Updated last month
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 3 years ago
- Docker containers for running training scripts on AzureML☆236Updated last month
- ☆195Updated 2 years ago
- GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.☆20Updated 3 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆40Updated 2 years ago
- Scalable solution for ML Observability☆36Updated last year
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆90Updated 4 months ago
- ☆15Updated last year
- AzureML customer managed k8s compute samples☆82Updated 11 months ago
- GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.☆26Updated 3 years ago
- A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.☆48Updated 6 months ago
- An example repo for provisioning a complete Azure Machine Learning environment through Terraform☆24Updated 2 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆576Updated last year
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆77Updated last year
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆114Updated 3 years ago
- under renovation☆31Updated 2 years ago