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Source channel @githubtrending · Post #14843 · Jun 19

#c_lang ESP-IDF is Espressif's official software framework for developing applications on ESP32 and related chips, supporting Windows, Linux, and macOS. It offers a complete set of tools, libraries, and drivers for Wi-Fi, Bluetooth, and IoT features, enabling you to build connected devices efficiently using C or C++. ESP-IDF supports multiple chip versions with stable releases and ongoing updates, ensuring reliability and production readiness. It includes easy commands for building, flashing, and monitoring your projects, plus example templates to start quickly. Using ESP-IDF helps you create robust, feature-rich IoT applications with strong community and official support. This saves time and effort in development and deployment. https://github.com/espressif/esp-idf

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

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#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

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