sagemaker-python-sdk and sagemaker-ssh-helper
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 sagemaker-ssh-helper
aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
This tool helps machine learning engineers and data scientists debug and troubleshoot their code running on Amazon SageMaker. It allows you to get a terminal session directly into SageMaker training jobs, processing jobs, batch inference, or real-time endpoints, or even connect your local IDE for remote debugging. You can feed your SageMaker job ID into this tool, and it provides a secure connection to the underlying container, enabling interactive problem-solving and access to auxiliary tools.
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