Stars
- All languages
- Awk
- Batchfile
- C
- C#
- C++
- CSS
- Clojure
- CodeQL
- CoffeeScript
- Common Lisp
- Dart
- Dockerfile
- Elixir
- Emacs Lisp
- Erlang
- Fluent
- GCC Machine Description
- Go
- HTML
- Haskell
- Java
- JavaScript
- Jupyter Notebook
- Kotlin
- Lua
- MDX
- Makefile
- Markdown
- Objective-C
- PHP
- PLpgSQL
- Pascal
- Perl
- PowerShell
- Prolog
- Python
- QML
- Rich Text Format
- Roff
- Ruby
- Rust
- SCSS
- Scala
- ShaderLab
- Shell
- Smarty
- Stylus
- Svelte
- Swift
- TeX
- TypeScript
- Vim Script
- Vue
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
Stable Diffusion web UI
A feature-rich command-line audio/video downloader
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
The agent that grows with you
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Command-line program to download videos from YouTube.com and other video sites
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Python tool for converting files and office documents to Markdown.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
💫 Toolkit to help you get started with Spec-Driven Development
Robust Speech Recognition via Large-Scale Weak Supervision
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
real time face swap and one-click video deepfake with only a single image
🏡 Open source home automation that puts local control and privacy first.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A high-throughput and memory-efficient inference and serving engine for LLMs
An AI SKILL that provide design intelligence for building professional UI/UX multiple platforms
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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…

