@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 #15141 · Sep 13
#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention
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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!
@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