Showing 3 open source projects for "dependency"

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    ggml

    ggml

    Tensor library for machine learning

    ggml is an open-source tensor library designed for efficient machine learning computation with a focus on running models locally and with minimal dependencies. Written primarily in C and C++, the library provides low-level tensor operations and automatic differentiation that allow developers to implement machine learning algorithms and neural networks efficiently. The project emphasizes portability and performance, enabling machine learning inference across a wide range of hardware...
    Downloads: 7 This Week
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  • 2
    TensorRT Backend For ONNX

    TensorRT Backend For ONNX

    ONNX-TensorRT: TensorRT backend for ONNX

    ...For building within docker, we recommend using and setting up the docker containers as instructed in the main (TensorRT repository). Note that this project has a dependency on CUDA. By default the build will look in /usr/local/cuda for the CUDA toolkit installation. If your CUDA path is different, overwrite the default path. ONNX models can be converted to serialized TensorRT engines using the onnx2trt executable.
    Downloads: 0 This Week
    Last Update:
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  • 3
    tiny-dnn

    tiny-dnn

    header only, dependency-free deep learning framework in C++14

    tiny-dnn is a C++14 implementation of deep learning. It is suitable for deep learning on limited computational resources, embedded systems, and IoT devices.
    Downloads: 0 This Week
    Last Update:
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