nfmoore / azure-databricks-containers-mlops-example-scenariosLinks
Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with MLOps principles and practices.
☆23Updated this week
Alternatives and similar repositories for azure-databricks-containers-mlops-example-scenarios
Users that are interested in azure-databricks-containers-mlops-example-scenarios are comparing it to the libraries listed below
Sorting:
- ☆40Updated 3 years ago
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆77Updated 10 months ago
- ☆15Updated 2 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆49Updated last year
- Financial Risk Assessment System☆20Updated 6 months ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆91Updated 3 months ago
- Providing tools and templates to facilitate modern MLOps practices☆84Updated 10 months ago
- Modular and minimalistic MLOps recipes☆70Updated 5 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆77Updated last year
- MLOps using Azure Databricks, Azure DevOps and Azure ML Services☆56Updated 4 years ago
- Complete end to end sample of doing DevOps with Azure Databricks☆70Updated 3 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.☆132Updated last month
- E2E MLOps with Databricks☆14Updated 6 months ago
- ☆10Updated 3 years ago
- This repository contains sample code, which is used for a MLOps Workshop☆26Updated last year
- ☆29Updated 4 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆39Updated 2 years ago
- Azure plugins for Feast (FEAture STore)☆82Updated last year
- Road to Azure Data Engineer Part-II: DP-201 - Designing an Azure Data Solution☆19Updated 4 years ago
- Examples surrounding Databricks.☆59Updated 11 months ago
- Azure Databricks Hands-on (Tutorials)☆68Updated last year
- Turning AML compute into Ray cluster☆77Updated 2 years ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- ☆13Updated last year
- ☆29Updated 10 months ago
- An Azure Databricks workshop leveraging the New York Taxi and Limousine Commission Trip Records dataset☆109Updated 2 years ago
- O'Reilly Katacoda☆56Updated 2 years ago
- This repo demonstrates GitHub actions to build and deploy your ML application☆35Updated last year