rebremer / devopsai_databricksLinks
DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service
☆16Updated 4 years ago
Alternatives and similar repositories for devopsai_databricks
Users that are interested in devopsai_databricks are comparing it to the libraries listed below
Sorting:
- Modular and minimalistic MLOps recipes☆71Updated 5 years ago
- MLOps using Azure Databricks, Azure DevOps and Azure ML Services☆56Updated 4 years ago
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 6 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆92Updated last year
- This repository contains sample code, which is used for a MLOps Workshop☆28Updated 2 years ago
- ML DevOps using GitHub Actions and Azure Machine Learning☆41Updated 5 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Example of using HyperDrive to tune a regular ML learner.☆63Updated 5 years ago
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆46Updated 5 years ago
- ☆29Updated 5 years ago
- 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
- An end-to-end Recommendation System built on Azure Databricks☆55Updated 6 years ago
- An example repo for provisioning a complete Azure Machine Learning environment through Terraform☆24Updated 3 years ago
- Repository with required files for automated ML worshops☆21Updated 6 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆52Updated last year
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆94Updated 9 months ago
- ☆199Updated 3 years ago
- Collection of Machine Learning Examples for Azure Databricks☆42Updated 5 years ago
- End-to-end Machine Learning Pipeline demo using Delta Lake, MLflow and AzureML in Azure Databricks☆18Updated 6 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- Deploy end to end ML/AI pipelines using Azure ML Service and Azure DevOps and take a Data Science (AI/ML) solution into Production.☆30Updated 2 years ago
- ☆15Updated 6 years ago
- Official Azure Reference Architectures for AI workloads☆75Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 4 years ago
- Azure plugins for Feast (FEAture STore)☆84Updated 2 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆41Updated 3 years ago
- This repository contains training material related to Azure and Machine Learning☆82Updated 2 years ago
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆81Updated last year
- MLFlow Spark Summit 2019 Presentation☆67Updated 6 years ago