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azureml-examples
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azureml-examples/tutorials
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kdestin 9be775a2f5
chore: Use OIDC to authenticate to Azure in Github Actions (#3253) 
* chore: Use federated credential in readme.py

* chore: Update cli workflows to use federated credentials

* chore: Update tutorial workflows to use federated credentials

* chore: Update sdk workflows to use federated credentials

* chore: Normalize line-ending for sdk-foundation-models-azure_openai-oai-v1-openai_completions_finetune.yml

* chore: Use federated credentials in sdk-foundation-models-azure_openai-oai-v1-openai_completions_finetune.yml

* chore: Update remaining workflows to use federated credentials
 		2024-06-19 16:55:28 -04:00
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azureml-getting-started Update quickstart.ipynb (#2457) 2023-07-22 05:49:07 +05:30
azureml-in-a-day replace the public data source to a public Azure blob one (#2500) 2023-07-27 16:06:35 +08:00
e2e-distributed-pytorch-image Updated mlflow and scikit-learn (#3130) 2024-04-29 18:20:54 -07:00
e2e-ds-experience sample: upgrade curated environment (#3059) 2024-03-28 13:38:03 +08:00
get-started-notebooks sample: upgrade curated environment (#3059) 2024-03-28 13:38:03 +08:00
README.md metadata and md updates (#2150) 2023-03-23 17:33:07 -05:00
prefix.md Adding automated tests and README for SDK v2 tutorials (#1903) 2022-11-23 11:45:44 -08:00
readme.py chore: Use OIDC to authenticate to Azure in Github Actions (#3253) 2024-06-19 16:55:28 -04:00
suffix.md Adding automated tests and README for SDK v2 tutorials (#1903) 2022-11-23 11:45:44 -08:00

README.md

page_type languages products description
sample
python
azure-machine-learning
Top-level directory for official Azure Machine Learning Python SDK v2 tutorials.

Azure Machine Learning SDK (v2) end to end tutorials

code style: black license: MIT

Prerequisites

  1. An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.

Getting started

  1. Install the SDK v2
pip install azure-ai-ml

Clone examples repository

git clone https://github.com/Azure/azureml-examples
cd azureml-examples/tutorials

Examples available

Test Status is for branch - main

Title Notebook Description Status
azureml-getting-started azureml-getting-started-studio A quickstart tutorial to train and deploy an image classification model on Azure Machine Learning studio azureml-getting-started-studio
azureml-in-a-day azureml-in-a-day Learn how a data scientist uses Azure Machine Learning (Azure ML) to train a model, then use the model for prediction. This tutorial will help you become familiar with the core concepts of Azure ML and their most common usage. azureml-in-a-day
e2e-distributed-pytorch-image e2e-object-classification-distributed-pytorch Prepare data, test and run a multi-node multi-gpu pytorch job. Use mlflow to analyze your metrics e2e-object-classification-distributed-pytorch
e2e-ds-experience e2e-ml-workflow Create production ML pipelines with Python SDK v2 in a Jupyter notebook e2e-ml-workflow
get-started-notebooks cloud-workstation Notebook cells that accompany the Develop on cloud tutorial. cloud-workstation
get-started-notebooks deploy-model Learn to deploy a model to an online endpoint, using Azure Machine Learning Python SDK v2. deploy-model
get-started-notebooks explore-data Upload data to cloud storage, create a data asset, create new versions for data assets, use the data for interactive development. explore-data
get-started-notebooks pipeline Create production ML pipelines with Python SDK v2 in a Jupyter notebook pipeline
get-started-notebooks quickstart no description quickstart
get-started-notebooks train-model no description train-model

Contributing

We welcome contributions and suggestions! Please see the contributing guidelines for details.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.

Reference