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1. 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

2. 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

3. 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

4. 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

5. 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