sagemaker-python-sdk and aws-ml-jp
About sagemaker-python-sdk
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
This is a Python library that helps machine learning engineers and data scientists train and deploy models on Amazon SageMaker. It simplifies the process of getting your data (from S3) into a training environment and then taking the trained model to make predictions. You can use popular frameworks like PyTorch or MXNet, or bring your own custom algorithms.
About aws-ml-jp
aws-samples/aws-ml-jp
SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集
This collection of tutorials helps you build, train, and deploy machine learning models on AWS. It provides practical examples and guided lessons, showing you how to turn raw data into predictive models and integrate them into real-world applications. Data scientists, machine learning engineers, and application developers who want to leverage AWS for their ML projects will find this useful.
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