🚀 Exciting Project Announcement! 🚀
I'm thrilled to share that I’ve developed GitInvite – an open-source platform that makes collaborating on GitHub easier than ever! 🎉
💡 What is GitInvite? GitInvite allows users to generate secure GitHub repository invite links that can be shared with collaborators. No more manual collaborator additions! With just one link, you can grant access to your repos in a secure and efficient way.
🌟 Key Features:
- Generate secure invite links to share repository access.
- Cancel invite links anytime to prevent further use.
- Revoke access from users who gained access via the link.
- Easy collaboration for developers, teams, and open-source projects.
🎯 Beta Stage: GitInvite is currently in its beta stage, and I'm actively seeking feedback and suggestions for improvements. I would love to hear from the developer community to help shape the future of this tool!
💻 Want to try it out? You can access GitInvite here: https://gitinvite.vercel.app/
🛠 Developers: The code is open-source, and I welcome contributions! Check out the GitHub repo here: https://github.com/rahulps1000/GitInvite
Feel free to share your feedback, open issues, or contribute to the project! Let’s make GitHub collaboration even smoother together. 🙌
#GitHub#OpenSource#NextJS#GitInvite#Collaboration#Beta#WebDevelopment
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
#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
#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