Showing 3 open source projects for "machine learning platform"

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    Public APIs

    Public APIs

    A collective list of free APIs

    ...Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and free-to-use APIs. Developers can leverage this list to enhance their products, prototypes, or research projects without the need to build data sources from scratch. ...
    Downloads: 0 This Week
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  • 2
    CPU Features

    CPU Features

    A cross platform C99 library to get cpu features at runtime

    cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically.
    Downloads: 3 This Week
    Last Update:
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  • 3
    XNNPACK

    XNNPACK

    High-efficiency floating-point neural network inference operators

    ...The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. It supports NHWC tensor layouts and allows flexible striding along the channel dimension to efficiently handle channel-split and concatenation operations without additional cost.
    Downloads: 0 This Week
    Last Update:
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