Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-07 21:03:38 +03:00
Обновлено 2024-11-07 20:34:44 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-05 02:07:14 +03:00
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-11-04 20:20:56 +03:00
Docker containers for running training scripts on AzureML
Обновлено 2024-10-23 16:04:32 +03:00
A Repository for the public preview of Responsible AI in AML vNext
Обновлено 2024-09-13 01:24:07 +03:00
AzureML customer managed k8s compute samples
Обновлено 2024-08-15 09:09:07 +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.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
mlops-project
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
Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOps on Azure leveraging Azure ML.
Обновлено 2024-03-19 01:29:06 +03:00
The object detection solution accelerator provides a pre-packaged solution to train, deploy and monitor custom object detection models using the TensorFlow object detection API within Azure ML.
Обновлено 2024-01-24 22:16:23 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
Обновлено 2023-07-28 08:11:02 +03:00
FastTrack for Azure AzureML Live event
Обновлено 2023-07-28 08:06:17 +03:00
Обновлено 2023-07-13 11:13:25 +03:00
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
nlp
pytorch
azure-machine-learning
language-model
bert
tuning
finetuning
pretraining
azureml-bert
bert-model
pretrained-models
Обновлено 2023-06-12 21:59:00 +03:00
Official Azure Reference Architectures for AI workloads
Обновлено 2023-06-12 21:22:40 +03:00
Sample Project for creating an RRS Recommendation System using AzureML
Обновлено 2023-03-28 19:45:47 +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
Patterns and examples for running R code with Azure Machine Learning
Обновлено 2022-09-16 23:04:07 +03:00
Azure Machine Learning SDK for R
Обновлено 2022-09-14 19:35:20 +03:00
Обновлено 2022-06-02 18:41:47 +03:00
Private Preview: Responsible AI Tooling in Azure Machine Learning
Обновлено 2022-03-28 19:01:33 +03:00
A sample repo for deploying a model as a managed online endpoint using Azure ML REST API and ARM templates.
Обновлено 2021-12-18 04:57:51 +03:00
Обновлено 2021-09-24 06:17:58 +03:00
Terraform examples for provisioning Azure Machine Learning
Обновлено 2021-06-17 12:24:52 +03:00