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Starred repositories
📚 Freely available programming books
An Open Source Machine Learning Framework for Everyone
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Build cross-platform desktop apps with JavaScript, HTML, and CSS
《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
Godot Engine – Multi-platform 2D and 3D game engine
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Vim-fork focused on extensibility and usability
Storybook is the industry standard workshop for building, documenting, and testing UI components in isolation
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
✨ Local and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
Models and examples built with TensorFlow
A latent text-to-image diffusion model
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Scrapy, a fast high-level web crawling & scraping framework for Python.
🌐 Jekyll is a blog-aware static site generator in Ruby
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。