GitHub / aws-samples / amazon-sagemaker-pipeline-deploy-manage-100x-models-python-cdk
This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.
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PURL: pkg:github/aws-samples/amazon-sagemaker-pipeline-deploy-manage-100x-models-python-cdk
étoiles: 9
forks: 1
issues ouvertes: 2
licence: mit-0
langage: Python
taille: 1,59 Mo
dépendances analysées: En attente
date de création: il y a plus d'un an
date de mise à jour: il y a 7 mois
enregistré: il y a environ un an
dernière synchronisation: il y a environ un mois
Sujets: aws, machine-learning, ml-ops, mlops, pipeline, sagemaker, sagemaker-deployment, sagemaker-endpoint