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@aadaili · Post #14323 · 04/15/2026, 01:33 PM
#LSPatch#工具 _0.8 以LSPosed为基础的 免root的Xposed框架 作用： 免root内置xp模块的打包工具 更新日志：支持Android17！
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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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@hanzichen · Post #1400 · 11/28/2025, 12:25 AM
AnghamiPlus AnghamiPlus is a sophisticated Xposed module that enhances your Anghami music streaming experience by unlocking plus-like features directly on the client side. Built with a modular and safe hooking architecture, it provides plus functionality without modifying server behavior or compromising your account security. 🔗 Links: - Download - Features - How to use - Support group and channel - Source code Developer: Kero309x ❤️ Support the Project If this project makes your life easier, here are a few quick ways to show some love: ⭐ Star the repo/app ☕ Buy a coffee for the developer 🛠 Contribute code, issues, or pull-requests ⚠️ This app might be breaking copyright laws, use at your own risk. We are not responsible for anything. We are just sharing open source software. 🏷 Tags: #Android#Music#Xposed#LSPatch#Modules