Showing 3 open source projects for "gpu process"

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  • 1
    Cog

    Cog

    Package and deploy machine learning models using Docker containers

    ...Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. Cog automatically generates a RESTful HTTP API for running predictions, enabling models to be accessed programmatically through a built-in prediction server.
    Downloads: 2 This Week
    Last Update:
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  • 2
    macOS Simple KVM

    macOS Simple KVM

    Tools to set up a quick macOS VM in QEMU, accelerated by KVM

    ...The project also supports GPU passthrough and other advanced configurations for users who want a more optimized macOS VM environment. While primarily intended for educational and testing purposes, it demonstrates how macOS can be virtualized outside of Apple hardware.
    Downloads: 0 This Week
    Last Update:
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  • 3

    broodKernel

    Latest i9001 stock kernel, heavily tweaked!

    broodKernel is a kernel that is always based on the latest i9001 kernel, the big difference between an other custom kernel is that broodKernel keeps the original zImage. This means that all stock features are available, in order to tweak it I added a lot of tweaks to the kernels ramdisk. next to the ramdisk tweaks there are 2 init.d scripts which allow you to manage broodKernel the way you want. Visit the github here: https://github.com/broodplank/broodKernel
    Downloads: 0 This Week
    Last Update:
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