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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 #15263 · Nov 2
#python#deep_learning#inference#llm#nlp#pytorch#transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm
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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