Showing 6 open source projects for "java to c++ converter"

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  • 1
    Triton Inference Server

    Triton Inference Server

    The Triton Inference Server provides an optimized cloud

    ... real-time, batched, ensembles, and audio/video streaming. Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases.
    Downloads: 4 This Week
    Last Update:
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  • 2
    tvm

    tvm

    Open deep learning compiler stack for cpu, gpu, etc.

    ... machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. Start using TVM with Python today, build out production stacks using C++, Rust, or Java the next day.
    Downloads: 3 This Week
    Last Update:
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  • 3
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    .... Libraries from Python, R, C/Fortran, C++, and Java can also be used.
    Downloads: 1 This Week
    Last Update:
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  • 4
    OpenCV

    OpenCV

    Open Source Computer Vision Library

    The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! https://docs.opencv.org/master...
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    Downloads: 4,089 This Week
    Last Update:
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    Instantly remove the background from your images in just one click.

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  • 5
    Apache MXNet (incubating)

    Apache MXNet (incubating)

    A flexible and efficient library for deep learning

    Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
    Downloads: 0 This Week
    Last Update:
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  • 6
    NNVM

    NNVM

    Open deep learning compiler stack for cpu, gpu

    ... and minimal runtimes commonly unlock ML workloads on existing hardware. Automatically generate and optimize tensor operators on more backends. Need support for block sparsity, quantization (1,2,4,8 bit integers, posit), random forests/classical ML, memory planning, MISRA-C compatibility, Python prototyping or all of the above? NNVM flexible design enables all of these things and more.
    Downloads: 3 This Week
    Last Update:
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