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Sagify

Open Source

Train and deploy ML/DL models on AWS SageMaker using our command-line tool.

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Updated on 2/6/2023

Sagify Featured

Introducing our command-line tool that lets you train and deploy Machine Learning/Deep Learning models on AWS SageMaker with just a few simple steps!

With this tool, you can easily access all the features of AWS SageMaker without the need for complex code or manual setup. Whether you are new to AWS SageMaker or an experienced user, our command-line tool simplifies the process of training and deploying Machine Learning/Deep Learning models on AWS SageMaker.

Enjoy the following benefits when using our command-line tool:

  • Easy deployment of Machine Learning/Deep Learning models in AWS SageMaker.
  • Simple steps to train your model and deploy it to the cloud.
  • Rapid iteration times with fast training on powerful hardware.
  • Improved efficiency with pre-configured Docker images compatible with AWS SageMaker.
  • More time to focus on building models instead of configuration and setup.

With our command-line tool, you can expect a faster and more efficient workflow for deploying Machine Learning/Deep Learning models on AWS SageMaker.

Try our tool today and discover how easy it can be to train and deploy your models on AWS SageMaker.

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