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1. sagemaker-pytorch-inference-toolkit sagemaker-pytorch-inference-toolkit Public

   Forked from aws/sagemaker-pytorch-inference-toolkit

   Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

   Python

2. 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

3. 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

4. sagemaker-inference-toolkit sagemaker-inference-toolkit Public

   Forked from aws/sagemaker-inference-toolkit

   Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

   Python

5. serve serve Public

   Forked from pytorch/serve

   Serve, optimize and scale PyTorch models in production

   Java

6. sagemaker-huggingface-inference-toolkit sagemaker-huggingface-inference-toolkit Public

   Forked from aws/sagemaker-huggingface-inference-toolkit

   Python