Amazon Web Services
Amazon Web Services
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.
porting-assistant-dotnet-client
The 'Porting Assistant for .NET' is a standalone compatibility analyzer that helps customers to port their .NET Framework (“.NET”) applications to .NET Core on Linux.
iot-atlas
The content of the IoT Atlas
aws-graviton-getting-started
Helping developers to use AWS Graviton2, Graviton3, and Graviton4 processors which power the 6th, 7th, and 8th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn,...
sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
aws-iot-device-sdk-embedded-C
SDK for connecting to AWS IoT from a device using embedded C.
aws-northstar
NorthStar is an open source design system with reusable React components for rapidly prototyping intuitive, meaningful and accessible user experience. It simplifies your work and ensures consistent, p...
apprunner-roadmap
This is the public roadmap for AWS App Runner.
sagemaker-inference-toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.