Showing 4 open source projects for "application deployment"

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  • 1
    TensorRT

    TensorRT

    C++ library for high performance inference on NVIDIA GPUs

    NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,...
    Downloads: 15 This Week
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  • 2
    AWS Lambda Runtime Interface Emulator

    AWS Lambda Runtime Interface Emulator

    Proxy for Lambda’s Runtime and Extensions APIs

    ...It allows you to locally test your functions using familiar tools such as cURL and the Docker CLI (when testing functions packaged as container images). It also simplifies running your application on additional computes. You can include the Lambda Runtime Interface Emulator in your container image to have it accept HTTP requests instead of the JSON events required for deployment to Lambda. This component does not emulate Lambda’s orchestrator, or security and authentication configurations. You can get started by downloading and installing it on your local machine.
    Downloads: 2 This Week
    Last Update:
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  • 3
    The CEDAR project
    The Common Event Driven Application Runtime (CEDAR) is set of software to design, code generate and run, event driven applications. This formalism is an extension of the Shlaer–Mellor method and executable UML, facilitating deployment of domains across multiple hosts, using networked bridges to process and pass events between them. Core technologies: XML, Python, Qt/PySide.
    Downloads: 0 This Week
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  • 4
    Boot

    Boot

    Build tooling for Clojure

    ...Boot provides a runtime environment that includes all of the tools needed to build Clojure projects from scripts written in Clojure that run in the context of the project. Build processes for applications always end up being complex things. A simple web application, for instance, may require many integrations–asset pipelines, deployment to different environments, the compilation of multiple artifacts with different compilers, packaging, etc. The more complex the build process becomes, the more flexible the build tool needs to be. Static build specifications become less and less useful as the project moves toward completion. ...
    Downloads: 2 This Week
    Last Update:
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