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Source channel @autotaskscript · Post #85 · 8月14日

#稀土掘金 改天得空了,你们谁扫码登陆一下,或者接下验证码 最后一次更新新版掘金的签到接口,其余那些任务不会更新,因为就加掘友分,这个没有什么卵用的,核心还是矿石 具体时间等我通知吧

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@githubtrending · Post #15271 · 2025/11/05 12:30

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite