Showing 2 open source projects for "metal"

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    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity...
    Downloads: 13 This Week
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    QP Real-Time Event Frameworks & Tools

    QP Real-Time Event Frameworks & Tools

    Real-Time Event Frameworks based on active objects & state machines

    ...The matching QM model-based design tool and other host-based tools complement the QP frameworks by supporting graphical modeling, code generation, software tracing, and unit testing for event-driven embedded software. Visit https://www.state-machine.com for more information. The QP RTEFs can run on bare-metal microcontrollers, replacing a traditional RTOS. The frameworks contain a selection of built-in real-time kernels (RTOS kernels), such as the cooperative QV kernel, the preemptive non-blocking QK kernel, and the unique preemptive, dual-mode (blocking/non-blocking) QXK kernel. Native QP ports and ready-to-use examples are provided for ARM Cortex-M (M0/M0+/M3/M4/M7/M33/...) as well as other CPUs. ...
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    Downloads: 176 This Week
    Last Update:
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