Credits¶

Acknowledgments¶

easy_sm borrows heavily from Sagify, an excellent tool for working with AWS SageMaker, especially for LLM workflows. We're grateful to the Sagify team for their pioneering work in simplifying SageMaker interactions.

Author¶

Prateek

• Email: prteek@icloud.com
• GitHub: prteek

Project¶

• Repository: github.com/prteek/easy_sm
• PyPI: pypi.org/project/easy-sm
• License: MIT

Contributing¶

Contributions are welcome! See the Contributing Guide for details on how to get involved.

Related Projects¶

• Sagify - Train and deploy Machine Learning/AI models on AWS SageMaker
• AWS SageMaker Python SDK - Official AWS SageMaker SDK
• Typer - CLI framework used by easy_sm