A
amazon-sagemaker-examples
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Jupyter Notebook
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with Jupyter Notebook, focusing on aws and data-science
Who made it?Maintained by aws team, 11K⭐ on GitHub, #171 out of 3133 in Data & Infrastructure
Why does it exist?With the growing demand for aws and data-science in Data & Infrastructure, aws created amazon-sagemaker-examples as a streamlined solution.
What can it do?Key use cases: deep-learning, examples, inference
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/aws/amazon-sagemaker-examples | 官网 https://sagemaker-examples.readthedocs.io
🔗 github.com/aws/amazon-sagemaker-examples | 官网 https://sagemaker-examples.readthedocs.io
Topics
awsdata-sciencedeep-learningexamplesinferencejupyter-notebookmachine-learningmlopsreinforcement-learningsagemakertraining