Showing 5 open source projects for "above"

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  • 1
    Flashlight library

    Flashlight library

    A C++ standalone library for machine learning

    ...Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. In a single repository, Flashlight provides apps for research across multiple domains. Flashlight can be broken down into several components as described above. Each component can be incrementally built by specifying the correct build options. Flashlight is most-easily built and installed with vcpkg. Both the CUDA and CPU backends are supported with vcpkg. For either backend, first, install Intel MKL. Flashlight app binaries are also built for the selected features and are installed into the vcpkg install tree's tools directory.
    Downloads: 1 This Week
    Last Update:
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  • 2
    kcws

    kcws

    Deep Learning Chinese Word Segment

    Deep learning chinese word segment. Install the bazel code construction tool and install tensorflow (currently this project requires tf 1.0.0alpha version or above) Switch to the code directory of this project and run ./configure. Compile background service. Pay attention to the public account of waiting for words and reply to kcws to get the corpus download address. Extract the corpus to a directory. Change to the code directory.After installing tensorflow, switch to the kcws code directory. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    NNVM

    NNVM

    Open deep learning compiler stack for cpu, gpu

    ...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: 1 This Week
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  • 4
    The Edge Machine Learning library

    The Edge Machine Learning library

    Machine learning algorithms for edge devices

    ...The trained models can be loaded onto edge devices such as IoT devices/sensors, and used to make fast and accurate predictions completely offline. A tool that adapts models trained by above algorithms to be inferred by fixed point arithmetic.
    Downloads: 0 This Week
    Last Update:
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  • 5

    KMeansAniX

    Animation of kmeans clustering using X Window System

    ...Supports Linux, Mac, and BSD. Includes common initialization methods such as Forgy, Macqueen, random, and angular. Sample videos are available through the Files Tab above. The SVN repo is accessible thorugh the Code Tab above. Requires a C++ compiler, libplot-dev, and libncurses5-dev Mac alternative to libplot-dev: macports plotutils +x11
    Downloads: 0 This Week
    Last Update:
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