A Repository for the public preview of Responsible AI in AML vNext
Обновлено 2024-09-13 01:24:07 +03:00
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-09-12 20:11:30 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-09-03 14:16:21 +03:00
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-08-08 18:36:05 +03:00
MLOps examples
Обновлено 2024-08-02 19:21:39 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Обновлено 2024-04-19 06:43:42 +03:00
The InnerEye-Gateway is a Windows service that acts as a DICOM end point to run inference on https://github.com/microsoft/InnerEye-DeepLearning models.
Обновлено 2024-03-21 12:50:43 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Обновлено 2023-07-28 08:11:02 +03:00
Samples for use with MLOps
Обновлено 2023-07-07 00:20:31 +03:00
Official Azure Reference Architectures for AI workloads
Обновлено 2023-06-12 21:22:40 +03:00
Operationalize a video anomaly detection model with Azure ML
Обновлено 2023-06-12 21:22:10 +03:00
MLOps using Azure ML Services and Azure DevOps
Обновлено 2023-02-13 09:48:37 +03:00
Azure Machine Learning Cheat Sheets
Обновлено 2023-01-26 01:30:55 +03:00
Azure Machine Learning SDK for R
Обновлено 2022-09-14 19:35:20 +03:00
VSCode snippets for Azure Machine Learning
Обновлено 2021-03-27 01:46:08 +03:00
Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning
Обновлено 2020-08-27 21:49:15 +03:00
Example of using HyperDrive to tune a regular ML learner.
Обновлено 2020-04-08 00:51:45 +03:00
Batch scoring deep learning models with AML
Обновлено 2020-02-12 05:41:59 +03:00
AKS Deployment Tutorial
Обновлено 2020-02-12 05:11:52 +03:00
Deploying a Batch Scoring Pipeline for Python Models
Обновлено 2020-01-28 22:21:04 +03:00
Distributed Deep Learning using AzureML
Обновлено 2019-11-19 05:28:26 +03:00