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Source channel @githubtrending · Post #15271 · Nov 5

#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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@githubtrending · Post #14900 · 07/02/2025, 02:30 PM

#c_lang#cryptography#decryption#encryption#openssl#ssl#tls OpenSSL is a free, open-source toolkit that helps secure data by using strong encryption methods like TLS, SSL, and QUIC protocols. It includes libraries for cryptography and a command-line tool to create keys, certificates, encrypt data, and test security. OpenSSL is widely trusted and used by many software and websites to protect sensitive information during transmission, ensuring privacy and data integrity. It works on many operating systems and is regularly updated by a global community. Using OpenSSL helps you build secure applications and protect communications from cyber threats easily and reliably[1][3][5]. https://github.com/openssl/openssl