Showing 4 open source projects for "shell for windows"

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  • 1
    m3u

    m3u

    Live Source

    The m3u project is a personal collection and integration of IPTV playlist sources, maintained as a hobby with casual updates. It aggregates streaming sources into .m3u files that can be subscribed to directly in various media players across platforms. The repository provides both simplified and full versions of playlist files, including dedicated lists for live streams and customizable options for users who want personalized M3U configurations. It emphasizes accessibility by offering...
    Downloads: 221 This Week
    Last Update:
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  • 2
    Shaderc

    Shaderc

    A collection of tools, libraries, and tests for Vulkan shader

    Shaderc is a collection of tools and libraries for compiling shaders—small programs that run on GPUs—into SPIR-V, the intermediate representation used by the Vulkan graphics API. It provides both a command-line tool (glslc) and a C/C++ library (libshaderc) that wrap the functionality of glslang (the Khronos reference compiler for GLSL) and SPIRV-Tools to deliver a modern, scriptable, and efficient shader compilation workflow. The glslc compiler offers a GCC/Clang-like interface for building...
    Downloads: 5 This Week
    Last Update:
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  • 3
    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. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and...
    Downloads: 1 This Week
    Last Update:
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  • 4
    XNNPACK

    XNNPACK

    High-efficiency floating-point neural network inference operators

    XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch...
    Downloads: 1 This Week
    Last Update:
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