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.
2,232 stars. Actively maintained with 38 commits in the last 30 days.
Use this if you are a machine learning engineer or data scientist who needs to build, train, and deploy machine learning models efficiently on AWS SageMaker.
Not ideal if you prefer to manage all aspects of your machine learning infrastructure manually or are not using Amazon SageMaker for your ML workflows.
Stars
2,232
Forks
1,229
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
38
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