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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Runhouse ⭐ 667

Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra.

Torchpipe ⭐ 91

Boosting DL Service Throughput 1.5-4x by Ensemble Pipeline Serving with Concurrent CUDA Streams for PyTorch/LibTorch Frontend and TensorRT/CVCUDA, etc., Backends

Cloud native microservices app running with a service mesh (AWS App Mesh).

All {code] by Dell EMC related Vagrant projects

Mlflow Ray Serve ⭐ 20

MLFlow Deployment Plugin for Ray Serve

Aws Xray Serverless Samples ⭐ 9

Code samples showing the different ways to run AWS X-Ray in serverless applications

Expatcinema.com ⭐ 8

Expat Cinema - Foreign movies with English subtitles

Azure Swarm ⭐ 5

Scripts to deploy a working swarm cluster within 5 minutes in Azure with configured Swarm (and Rex-ray storage or without)

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