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소스 채널 @phpdevelopersuz · Post #2264 · 1월 15일

#Respect_Subyektiv #Nocomment #Ogoxlik Oqko'ngil xalqimizning soddaligidan foydalanib qolishga urinayotgan, va afsuski ko'pincha buning uddasidan ham chiqayotgan soxta "click hodimlari" va OLX sotuvchilari haqida haqiqatlar fosh qilindi. Ushbu videoni ko'ring, peshona teringiz mahsuli bo'lgan haqqingizni birovga oldirib qo'yish xavfidan ogoh bo'lib qo'ying. Sodda xalqimiz bunday o'g'rilillarga chuv tushmasliklari uchun o'z yaqinlaringizni ogoh qiling va ushbu videoni ulashing. P/s. Oxirgacham diqatlik bilan ko'ring. MAMONT bo'lishdan saqlaning. @infoTUIT

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@githubtrending · Post #15271 · 2025. 11. 05. PM 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