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Source channel @githubtrending · Post #14915 · Jul 5

#other#awesome_list#brasil#ciencia_da_computacao#computer_science#curriculo#cursos#hacktoberfest The MIT License is a simple and permissive software license that lets you freely use, copy, modify, merge, publish, distribute, sublicense, and sell software, as long as you include the original copyright notice and license text in all copies. It does not require you to share your changes or make your code open source. The software is provided "as is," without any warranty, so the authors are not responsible for any problems. This license gives you great freedom and flexibility to use software for any purpose, including commercial, with minimal legal restrictions[1][3][5]. This benefits you by allowing easy and safe use and sharing of software without complex legal barriers. https://github.com/Universidade-Livre/ciencia-da-computacao

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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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