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Source channel @githubtrending · Post #15273 · Nov 6

#typescript#electron#material_you#music#music_player#netease_cloud_music#react#reactjs Music You is a free desktop music player that lets you enjoy all the features of NetEase Cloud Music on your computer, with a modern, easy-to-use design that follows Google’s Material You style. You can log in with your phone, browse recommendations, manage your music library, listen to podcasts and radio, see lyrics (including word-by-word highlights), play local files, and access your cloud music. The app is built with React and Electron, works on Windows, macOS, and Linux, and is open source—so you can even download and modify the code yourself. This gives you a smooth, full-featured music experience right on your desktop, with regular updates and a clean, customizable interface. https://github.com/GuMengYu/music-you

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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