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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
Search: #winapps
@JianjiaoPD · Post #9670 · 10/25/2025, 02:36 PM
📣WinApps | 自建加速的纯净 Windows 软件仓库 🖼 标签：#WinApps#软件下载#Windows#开源软件#Scoop 📱 简介：WinApps是一位开发者自建的 Windows 软件资源站，为国内用户提供原汁原味的官网下载源 + 代理加速下载。作者出于“分享干净软件”的初心，亲自筛选超过 100+ 实用程序，覆盖浏览器插件、系统工具、开发软件等领域，让用户免去从杂乱下载站找资源的烦恼。 网站坚持 不改包、不注入、不破解 的纯净原则，所有下载链接都指向官方源或作者自建的加速镜像。支持 Scoop 命令行安装、Windows 系统镜像直链下载，无需网盘跳转、无需登录，一键即可安装。 💬 小编有话说：理想的软件下载站——无套路、无弹窗、无广告，纯粹到极致 🧭在线直达官网 ♥@xiuerSearch 搜索历史资源 👥频道 | 👤群聊 | 👁🗨中文包
@githubtrending · Post #15087 · 08/23/2025, 12:00 PM
#shell#cassowary#docker#freerdp#gnome#hacktoberfest#integration#kde#libvirt#linux#linux_app#nautilus#nix_flake#podman#qemu#qemu_kvm#seamless#winapps#windows#wine#xfce You can run Windows applications like Microsoft Office and Adobe Creative Cloud directly on your Linux desktop (KDE, GNOME, or XFCE) as if they were native apps using WinApps. It works by running Windows inside a virtual machine (using Docker, Podman, or libvirt) and then showing Windows apps seamlessly on Linux with FreeRDP. Your Linux home folder is accessible in Windows, and you can right-click files in Linux to open them with Windows apps. This lets you use all Windows programs without leaving Linux, improving productivity and convenience without needing dual boot or separate hardware. https://github.com/winapps-org/winapps