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Source channel @githubtrending · Post #14805 · Jun 8

#c_lang#alsa#audio_visualizer#freebsd#glsl_shaders#linux#macos#ncurses#pipewire#portaudio#pulseaudio#sdl2#sndio#windows Cava is a free, open-source audio visualizer that works on Linux, FreeBSD, macOS, and Windows, letting you see music as moving bars right in your terminal or desktop window[1][3]. It’s easy to install and use, supports many audio systems, and lets you customize colors and settings. The main benefit is that it makes listening to music more fun and visually engaging, especially for people who enjoy seeing sound represented in real time, and it works on almost any computer or device[1][3][4]. https://github.com/karlstav/cava

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​​Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy

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@githubtrending · Post #15433 · 01/23/2026, 02:30 PM

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG