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Source channel @githubtrending · Post #15479 · Feb 8

#shell#automation#docker#hacktoberfest#home#iot Home Assistant apps extend your smart home setup with tools like MQTT brokers, MariaDB databases, Duck DNS for secure remote access, file editors, Samba sharing, Zigbee/Z-Wave controllers, and more, all installed easily via the frontend. This benefits you by unifying device control in one app for powerful local automations, better privacy without cloud reliance, no subscriptions, and flexibility across brands—simplifying management even if internet fails. https://github.com/home-assistant/addons

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

#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