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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Azure / DeepSeek), Knowledge Base (file upload / knowledge manageme…
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Laf is a vibrant cloud development platform that provides essential tools like cloud functions, databases, and storage solutions. It enables developers to quickly unleash their creativity and bring…
This repository is a mirror of https://git.openwrt.org/openwrt/openwrt.git It is for reference only and is not active for check-ins. We will continue to accept Pull Requests here. They will be merg…
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
使用Github Action将国外的Docker镜像转存到阿里云私有仓库，供国内服务器使用，免费易用
curated list of projects with raspberry pi
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Building a modern alternative to Salesforce, powered by the community.
AList proxy server for TvBox, support playlist and search.
树莓派(Raspberry Pi )资源大全中文版 , 包括工具、项目、镜像、资源等
基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））
Skin changer for League of Legends (LOL)
Leading free and open-source face recognition system
Arduino library for devices supporting the SSCMA-Micro firmware
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。