# aws-samples/sagemaker-ml-workflow-with-apache-airflow

<https://repo.masters-masters.com/repos/aws-samples/sagemaker-ml-workflow-with-apache-airflow>

[Accueil](https://repo.masters-masters.com/) › [aws-samples](https://repo.masters-masters.com/owners/aws-samples) › [sagemaker-ml-workflow-with-apache-airflow](https://repo.masters-masters.com/repos/aws-samples/sagemaker-ml-workflow-with-apache-airflow)

aws-samples/sagemaker-ml-workflow-with-apache-airflow, dépôt open source à 137 étoiles sur GitHub. Carte Prototype de RepoMasters. Langage : Jupyter Notebook.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [aws-samples](https://repo.masters-masters.com/owners/aws-samples) |
| Étoiles | 137 |
| Forks | 80 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT-0 |
| Création | 2019 |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [aws-samples/sagemaker-ml-workflow-with-apache-airflow](https://github.com/aws-samples/sagemaker-ml-workflow-with-apache-airflow) |

## Fiche du dépôt

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.
