sagemaker-python-sdk and amazon-sagemaker-examples
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 amazon-sagemaker-examples
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This project provides a collection of example Jupyter notebooks that show you how to use Amazon SageMaker for your machine learning projects. These notebooks walk you through the entire machine learning workflow, from preparing data to building, training, deploying, and monitoring models. Data scientists, machine learning engineers, and researchers can use these examples to learn how to operationalize their ML models on AWS.
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