aws-samples/awesome-sagemaker
A curated list of references for Amazon SageMaker
This is a curated collection of resources for anyone working with Amazon SageMaker to build, train, and deploy machine learning models. It takes various articles, tutorials, and best practices related to SageMaker and organizes them into an easy-to-navigate guide. Machine learning engineers, data scientists, and MLOps practitioners will find this useful for streamlining their machine learning workflows on AWS.
177 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for structured guidance and references to enhance your work with Amazon SageMaker, from initial setup to deploying advanced generative AI models.
Not ideal if you are looking for an introduction to machine learning concepts in general, as this resource assumes familiarity with ML and focuses specifically on SageMaker implementation.
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Jan 08, 2024
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