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Source channel @githubtrending · Post #14668 · May 3

#svelte#component#component_library#components#css#css_components#css_framework#daisyui#design_pattern#design_system#design_systems#postcss#svelte#tailwind#tailwind_css#tailwindcss#ui_design#ui_framework#ui_kit#ui_library#ui_pattern daisyUI is a popular, free, and open-source component library for Tailwind CSS. It helps you build faster by providing useful class names for common UI elements like cards and calendars. This means you write less code and can focus on designing your interface more efficiently. daisyUI is also very customizable and works well with Next.js, adding no extra JavaScript to your projects, which keeps them fast and efficient. Overall, using daisyUI simplifies your development process and makes your projects more maintainable. https://github.com/saadeghi/daisyui

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

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#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm

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#python #apple_silicon #florence2 #idefics #llava #llm #local_ai #mlx #molmo #paligemma #pixtral #vision_framework #vision_language_model #vision_transformer