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1. Deep-Learning Deep-Learning Public

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2. aws/sagemaker-python-sdk aws/sagemaker-python-sdk Public

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

   Python 2.1k 1.1k

3. aws/sagemaker-scikit-learn-container aws/sagemaker-scikit-learn-container Public

   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 162 102

4. aws/sagemaker-xgboost-container aws/sagemaker-xgboost-container Public

   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 116 69

5. aws/amazon-sagemaker-examples aws/amazon-sagemaker-examples Public

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

   Jupyter Notebook 9.7k 6.6k

6. aws/deep-learning-containers aws/deep-learning-containers Public

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

   Python 949 445