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1. sagemaker-sparkml-serving-container sagemaker-sparkml-serving-container Public

   Forked from aws/sagemaker-sparkml-serving-container

   This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

   Java

2. sagemaker-python-sdk sagemaker-python-sdk Public

   Forked from aws/sagemaker-python-sdk

   A library for training and deploying machine learning models on Amazon SageMaker

   Python

3. sagemaker-tensorflow-serving-container sagemaker-tensorflow-serving-container Public

   Forked from aws/sagemaker-tensorflow-serving-container

   A TensorFlow Serving solution for use in SageMaker.

   Python

4. deep-learning-containers deep-learning-containers Public

   Forked from aws/deep-learning-containers

   AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

   Python

5. amazon-sagemaker-examples amazon-sagemaker-examples Public

   Forked from aws/amazon-sagemaker-examples

   Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

   Jupyter Notebook