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Source channel @githubtrending · Post #15141 · Sep 13

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#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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@githubtrending · Post #15282 · 11/09/2025, 02:00 PM

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#shell#aesthetic#dark_mode#dynamic#hyde#hyprdots#light_mode#themes#unix_porn#wallpapers HyDE is a clean, modular, and visually appealing development environment designed for Hyprland on Arch Linux and some Arch-based distros. It offers easy installation via a script that auto-detects NVIDIA cards and configures necessary drivers, but it may conflict with existing desktop environments or theming. You can customize it with many official and community themes using a tool called themepatcher. HyDE keeps your configuration organized and separate from core scripts, making updates safer and simpler. It also supports running in a virtual machine for testing. Joining the HyDE Discord community helps you get support and share ideas. This setup benefits you by providing a stylish, maintainable, and customizable desktop environment with a smooth update process and community support. https://github.com/HyDE-Project/HyDE

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#shell#aesthetic#dark_mode#dynamic#hyde#hyprdots#light_mode#themes#unix_porn#wallpapers