This is the Linux app named SageMaker Python SDK whose latest release can be downloaded as v2.247.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SageMaker Python SDK
DESCRIPTION
SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker-compatible Docker containers, you can train and host models using these as well.
Features
- SageMaker Python SDK supports Unix/Linux and Mac
- Documentation available
- Examples available
- The SageMaker Python SDK supports managed training and inference for a variety of machine learning frameworks
- Amazon SageMaker provides implementations of some common machine learning algorithms optimized for GPU architecture
- Orchestrate your SageMaker training and inference workflows with Airflow and Kubernetes
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/sagemaker-python-sdk.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
