Showing 5 open source projects for "simulation model library"

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  • 1
    Node-RED

    Node-RED

    Low-code programming for event-driven applications

    ...Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range of nodes in the palette. Flows can be then deployed to the runtime in a single-click. JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud.
    Downloads: 69 This Week
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  • 2
    Iced

    Iced

    A cross-platform GUI library for Rust, inspired by Elm

    Iced is a cross-platform, end-user-oriented GUI library for Rust, inspired by The Elm Architecture. It expects you to split user interfaces into four different concepts, which are: the state of your app; messages, which are user interactions or other meaningful events; view logic, which displays your state as widgets that can result in messages; and update logic, which offers a way to update your state and react to messages. Iced is very simple and easy to use, and is type-safe. It offers...
    Downloads: 0 This Week
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  • 3
    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: 4 This Week
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  • 4
    The CEDAR project
    ...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. Current release solely targets Linux, but has previously run on macOS. Currently released components are: - eda-model: XML schema and schematron that define the storage of a valid design. - eda-model-interface: python3 library for loading, editing, diffing and validating an instance of an EDA design. - edator: The editor/IDE of EDA designs, using Qt/PySide2. - code generator: generate a C++ code base from a CEDAR model. - runtime: C++ and python runtime support files - ruststore: A datastore for the CEDAR runtime
    Downloads: 0 This Week
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  • 5
    Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.
    Downloads: 0 This Week
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