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1. sagemaker-containers sagemaker-containers Public

   Forked from aws/sagemaker-containers

   This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.

   Python

2. ml-io ml-io Public

   Forked from awslabs/ml-io

   A high performance data access library for machine learning tasks

   C++

3. sagemaker-xgboost-container sagemaker-xgboost-container Public

   Forked from aws/sagemaker-xgboost-container

   This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

   Python

4. sagemaker-scikit-learn-container sagemaker-scikit-learn-container Public

   Forked from aws/sagemaker-scikit-learn-container

   Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

   Python

5. 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

6. amazon-sagemaker-examples amazon-sagemaker-examples Public

   Forked from aws/amazon-sagemaker-examples

   Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

   Jupyter Notebook