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Source channel @githubtrending · Post #14840 · Jun 19

#other This collection of Alfred workflows lets you automate many tasks on your Mac, like showing charger power, generating random images, fixing zoom issues, editing SVGs, converting CSS styles, managing Git projects, switching audio devices, and more. These workflows save you time by performing complex or repetitive actions with simple commands or shortcuts. For example, you can quickly clone Git repos, switch audio inputs, or convert timestamps without leaving your keyboard. Using these tools boosts your productivity by making your computer easier and faster to control, especially if you use Alfred’s Powerpack to integrate and customize workflows for your needs[1][2][5]. https://github.com/sunzsh/favoritesWorkflow4Alfred

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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