microsoft / vscode-tools-for-aiLinks
Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
☆340Updated 3 months ago
Alternatives and similar repositories for vscode-tools-for-ai
Users that are interested in vscode-tools-for-ai are comparing it to the libraries listed below
Sorting:
- Repo for publishing code Samples and CLI samples for BatchAI service☆126Updated 6 years ago
- Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.☆289Updated 5 years ago
- Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.☆602Updated 2 years ago
- Distributed Deep Learning using AzureML☆43Updated 6 years ago
- Visual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integ…☆358Updated 2 years ago
- Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)☆181Updated 3 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
- GitHub repositories for Machine Learning Server☆61Updated 2 years ago
- Workshop materials from the AI Immersion Workshop, for attendees to access and use☆69Updated 8 years ago
- Easily deploy models to FPGAs for ultra-low latency with Azure Machine Learning powered by Project Brainwave☆158Updated 2 years ago
- Train TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure☆42Updated 7 years ago
- Microsoft Cognitive Toolkit (CNTK) Docker Images☆28Updated 2 years ago
- AKS Deployment Tutorial☆34Updated 5 years ago
- Fast R-CNN Object Detection on Azure using CNTK☆130Updated 7 years ago
- Official Azure Reference Architectures for AI workloads☆75Updated 2 years ago
- This repository contains code samples for building a continuous integration pipeline for an AI application using Azure.☆66Updated 2 years ago
- Microsoft Ignite Learning Path, Train the Trainer materials: Developers Guide to AI☆208Updated 5 years ago
- Shows how to debug an AzureML remote job using vscode and ptvsd☆11Updated 5 years ago
- Vision AI Developer Kit Preview☆128Updated 2 years ago
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆116Updated 3 years ago
- Azure App Service extension for VS Code☆114Updated this week
- Deploying machine learning models to Azure☆62Updated 6 years ago
- Simplify HPC and Batch workloads on Azure☆277Updated 2 years ago
- Docker containers for running training scripts on AzureML☆233Updated 5 months ago
- Common packages for building Azure extensions for VS Code☆140Updated last week
- Azure Functions extension for VS Code☆312Updated this week
- A client tool to help create, debug and monitor Azure Batch Applications☆208Updated 2 weeks ago
- Sample bot using the ConversationLearner SDK☆81Updated 3 years ago
- Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.☆39Updated 6 years ago