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sagemaker-inference-toolkit

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

sagemaker-jumpstart-industry-pack

sagemaker-mxnet-inference-toolkit

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

sagemaker-mxnet-training-toolkit

Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

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.

sagemaker-pytorch-training-toolkit

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-rl-container

A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.

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/)

sagemaker-scikit-learn-extension

A library of additional estimators and SageMaker tools based on scikit-learn

sagemaker-spark

A Spark library for Amazon SageMaker.

sagemaker-spark-container

The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.

sagemaker-sparkml-serving-container

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

sagemaker-tensorflow-extensions

SageMaker specific extensions to TensorFlow.

sagemaker-tensorflow-training-toolkit

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

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.

sahay-app-toolkit

React-native toolkit with a suite of UI components for building content-heavy mobile apps.

sails-hook-federalist-ms

Sails.js installable hook for Federalist (https://github.com/18f/federalist) to support Windows and Microsoft Azure.

same-ish

A Clojure library for approximate comparison of floating point types in tests

sample-cloudkit-coredatasync

sample-cloudkit-encryption

sample-cloudkit-privatedb

sample-cloudkit-privatedb-sync

sample-cloudkit-queries

sample-cloudkit-sharing

sample-cloudkit-tooling

sample-cloudkit-zonesharing

sample-code

appium sample code (dotnet, java, node, perl, php, python, ruby, etc.)

sample-food-truck

SwiftUI sample code from WWDC22

sample-sql-translator