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amazon-sagemaker-examples

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

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CS562_Geo-tagged_data

code for project in CS562, Analysis of Geo-tagged twitter or geo-social network data.

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.

PhotoShare

sagemaker-python-sdk

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

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.

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.