microsoft / OnDemandMLflowTrainAndServeLinks
A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow
☆18Updated 4 years ago
Alternatives and similar repositories for OnDemandMLflowTrainAndServe
Users that are interested in OnDemandMLflowTrainAndServe are comparing it to the libraries listed below
Sorting:
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆46Updated 4 years ago
- Repository with required files for automated ML worshops☆21Updated 6 years ago
- Cloud workshop Azure ML 2020☆14Updated 3 years ago
- A workshop for doing MLOps on Azure Machine Learning☆35Updated 3 years ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- Access all demo content as demonstrated in the AI sessions at Build 2019☆34Updated 6 years ago
- ☆28Updated 6 years ago
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 3 years ago
- Private Preview: Responsible AI Tooling in Azure Machine Learning☆18Updated 3 years ago
- Demonstrate samples and good engineering practice for operationalizing machine learning solutions.☆21Updated 3 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆39Updated 2 years ago
- AKS Deployment Tutorial☆34Updated 5 years ago
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 6 years ago
- Modular and minimalistic MLOps recipes☆70Updated 5 years ago
- Student Materials for MTC Azure ML Workshop☆31Updated 8 years ago
- this is a python framework that helps to build any data engineering and data science solutions in Databricks☆14Updated 2 years ago
- What the Hack Challenge format of the Advanced Databricks Workshop☆16Updated 6 years ago
- Front End Template for a Cognitive Search Index☆18Updated 5 years ago
- ☆9Updated 4 years ago
- Stream Data from Databricks Directly to PowerBI, and CosmosDB!☆12Updated 6 years ago
- ☆15Updated 5 years ago
- Example of using HyperDrive to tune a regular ML learner.☆60Updated 5 years ago
- This repository highlights the workflow and ease of use of training machine learning or deep learning models using Azure Databricks. Then…☆32Updated last year
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆47Updated last year
- Wrangling Data Flow Documentation☆29Updated 5 years ago
- Microsoft Azure AI Customer Engineering team code repo☆37Updated 2 years ago
- under renovation☆31Updated 2 years ago
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.☆15Updated last year
- ML Ops demo for Azure Databricks and Azure ML SDK☆21Updated 5 years ago
- Azure ML + Dask = OSS Data Science & ML @ Scale☆8Updated 4 years ago