microsoft / DistributedDeepLearningLinks
Distributed Deep Learning using AzureML
☆43Updated 6 years ago
Alternatives and similar repositories for DistributedDeepLearning
Users that are interested in DistributedDeepLearning are comparing it to the libraries listed below
Sorting:
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆46Updated 5 years ago
- AKS Deployment Tutorial☆34Updated 5 years ago
- Example of using HyperDrive to tune a regular ML learner.☆63Updated 5 years ago
- Azure plugins for Feast (FEAture STore)☆84Updated 2 years ago
- Modular and minimalistic MLOps recipes☆71Updated 5 years ago
- Official Azure Reference Architectures for AI workloads☆75Updated 2 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆92Updated last year
- Repo for publishing code Samples and CLI samples for BatchAI service☆126Updated 6 years ago
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 4 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- Shows how to debug an AzureML remote job using vscode and ptvsd☆11Updated 5 years ago
- Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster☆77Updated 6 years ago
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 6 years ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- Repository with required files for automated ML worshops☆21Updated 6 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆41Updated 3 years ago
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆116Updated 3 years ago
- Demonstrate samples and good engineering practice for operationalizing machine learning solutions.☆20Updated 4 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
- ☆199Updated 3 years ago
- ML DevOps using GitHub Actions and Azure Machine Learning☆41Updated 5 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆82Updated last month
- Turning AML compute into Ray cluster☆78Updated 4 months ago
- Docker containers for running training scripts on AzureML☆233Updated 4 months ago
- Schema decoration for inference code☆36Updated last year
- This repository contains training material related to Azure and Machine Learning☆82Updated 2 years ago
- Providing tools and templates to facilitate modern MLOps practices☆89Updated last year
- ☆15Updated 6 years ago
- Train TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure☆42Updated 7 years ago
- A rather unorganized collection of ML topic summaries, code snippets and demos.☆28Updated 7 years ago