microsoft / az-deep-batch-score
Batch scoring deep learning models with AML
☆21Updated 4 years ago
Alternatives and similar repositories for az-deep-batch-score:
Users that are interested in az-deep-batch-score are comparing it to the libraries listed below
- AKS Deployment Tutorial☆34Updated 4 years ago
- Example of using HyperDrive to tune a regular ML learner.☆60Updated 4 years ago
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆45Updated 4 years ago
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆115Updated 2 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 last year
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 3 years ago
- Repository with required files for automated ML worshops☆21Updated 5 years ago
- This is a template used for setting up a machine learning project running on Azure Machine Learning☆32Updated 4 years ago
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 5 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆126Updated 2 years ago
- Shows how to debug an AzureML remote job using vscode and ptvsd☆11Updated 4 years ago
- ML DevOps using GitHub Actions and Azure Machine Learning☆40Updated 4 years ago
- Distributed Deep Learning using AzureML☆41Updated 5 years ago
- ☆196Updated 2 years ago
- "Solving problems with Deep Learning: an in-depth example using PyTorch and its ecosystem" tutorial/lab☆13Updated 4 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆89Updated 6 months ago
- A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow☆18Updated 4 years ago
- ☆14Updated 5 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆46Updated 10 months ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆46Updated 4 years ago
- Capturing model drift and handling its response - Example webinar☆107Updated 5 years ago
- SAMPLE: Microsoft AI Azure Machine Learning Utilities and Wrappers.☆17Updated 4 years ago
- this is a python framework that helps to build any data engineering and data science solutions in Databricks☆14Updated last year
- GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.☆20Updated 3 years ago
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- ☆11Updated 4 years ago
- Modular and minimalistic MLOps recipes☆70Updated 4 years ago
- This repository contains training material related to Azure and Machine Learning☆82Updated last year
- Fishial Recognition☆32Updated last year
- AzureML customer managed k8s compute samples☆81Updated 6 months ago