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Source channel @githubtrending · Post #15109 · Sep 1

#python#bot#python#tiktok#tiktok_api#tiktok_bot#tiktok_python#tiktok_views#tiktokbot#views#zefoy You can learn how to build the Zefoy bot yourself through a new course that shares 5+ years of reverse engineering knowledge, so you don’t have to rely on frequent fixes. The updated bot script now includes an automatic captcha solver, making it easier to run without interruptions. It’s fast, lightweight, works with TikTok’s API for dynamic view counts, and can be used on mobile devices. To use it, you just need Python and a few packages installed, then run the provided Python file. This gives you control and efficiency in automating TikTok views and interactions. https://github.com/xtekky/TikTok-ViewBot

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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