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  1. awslabs/sagemaker-debugger awslabs/sagemaker-debugger Public

    Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

    Python 158 82

  2. awslabs/sagemaker-debugger-rulesconfig awslabs/sagemaker-debugger-rulesconfig Public

    Python 9 8

  3. 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 9.8k 6.7k

  4. 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

  5. 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 953 445