Use Machine Learning Frameworks, Python, and R with Amazon SageMaker

You can use Python and R natively in Amazon SageMaker notebook kernels. There are also kernels that support specific frameworks. A very popular way to get started with SageMaker is to use the Amazon SageMaker Python SDK. It provides open source Python APIs and containers that make it easy to train and deploy models in SageMaker, as well as examples for use with several different machine learning and deep learning frameworks.

For information about using specific frameworks or how to use R in SageMaker, see the following topics.

Languages SDKs and user guides:

• Amazon SageMaker Python SDK

• R

• API Reference Guide for Amazon SageMaker

Machine learning and deep learning frameworks guides:

• Apache MXNet

• Apache Spark

• Chainer

• Hugging Face

• PyTorch

• Scikit-learn

• SparkML Serving

• TensorFlow

• Triton Inference Server