Showing 30 open source projects for "gpu-z"

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  • 1
    ArrayFire.jl

    ArrayFire.jl

    Julia wrapper for the ArrayFire library

    ArrayFire is a library for GPU and accelerated computing. ArrayFire.jl wraps the ArrayFire library for Julia, and provides a Julia interface. Install ArrayFire library: either download a binary from the official site, or you can build from source.
    Downloads: 0 This Week
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  • 2
    CUDAnative.jl

    CUDAnative.jl

    Julia support for native CUDA programming

    The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager.
    Downloads: 0 This Week
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  • 3
    CuArrays.jl

    CuArrays.jl

    A Curious Cumulation of CUDA Cuisine

    CuArrays provides a fully-functional GPU array, which can give significant speedups over normal arrays without code changes. CuArrays are implemented fully in Julia, making the implementation elegant and extremely generic.
    Downloads: 0 This Week
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  • 4
    TensorFlow.jl

    TensorFlow.jl

    A Julia wrapper for TensorFlow

    A wrapper around TensorFlow, a popular open-source machine learning framework from Google.
    Downloads: 0 This Week
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  • 5
    Merlin.jl

    Merlin.jl

    Deep Learning for Julia

    Merlin is a deep learning framework written in Julia. It aims to provide a fast, flexible and compact deep learning library for machine learning. Merlin is tested against Julia 1.0 on Linux, OS X, and Windows (x64).
    Downloads: 0 This Week
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