TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15549 · Mar 8
#python#ai_automation#api#audio_overview#claude#cli_tool#flashcards#google_notebooklm#notebooklm#notebooklm_api#notebookln#podcast_generator#python#python_api#quiz_generator#sdk#skills#study_tools notebooklm-py is a free Python tool and CLI for full access to Google NotebookLM's features, like creating notebooks, adding sources (URLs, PDFs, YouTube), chatting, deep research, and generating podcasts, videos, quizzes, slides, mind maps in formats like MP3, MP4, JSON. It offers extras the web lacks, such as batch downloads, editable PPTX, and mind map data. You benefit by automating research, content creation, and exports programmatically for faster prototypes, pipelines, or AI agents—saving time on manual UI work. https://github.com/teng-lin/notebooklm-py
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@R4marketing · Post #806 · 08/13/2021, 08:00 AM
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
@testflightynoti · Post #37780 · 05/07/2026, 08:30 PM
#Futubull#Easy#Investment Join the Futubull-Easy Investment beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/LXJdcvBn Shared by Dimitri
@WangZhuanZhan · Post #34299 · 10/23/2024, 12:23 PM
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@wangzhuanzhan · Post #33280 · 09/23/2024, 06:10 AM
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@WangZhuanZhan · Post #34066 · 10/15/2024, 05:50 AM
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@wangzhuanzhan · Post #32222 · 09/03/2024, 08:49 AM
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@testflightynoti · Post #37748 · 05/07/2026, 08:21 AM
#Easy#Credit#T#i#ch#nh#s Join the Easy Credit - Tài chính số beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/B8XYxOWV Shared by Dimitri
@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