Stars
- All languages
- Bicep
- C
- C#
- C++
- CSS
- CartoCSS
- Dockerfile
- EJS
- Go
- HCL
- HTML
- Java
- JavaScript
- Jupyter Notebook
- Kotlin
- LookML
- Lua
- MDX
- Makefile
- Meson
- Nunjucks
- Objective-C
- PHP
- PLSQL
- PLpgSQL
- Perl
- PostScript
- PowerShell
- Python
- QML
- R
- RMarkdown
- Rich Text Format
- Ruby
- Rust
- SAS
- SCSS
- Shell
- Stata
- Svelte
- Swift
- TSQL
- TeX
- TypeScript
- Vim Script
- Vue
📚 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.
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Coding articles to level up your development skills
Set up a modern web app by running one command.
Vim-fork focused on extensibility and usability
24 Lessons, 12 Weeks, Get Started as a Web Developer
Storybook is the industry standard workshop for building, documenting, and testing UI components in isolation
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
🎉 A curated list of awesome things related to Vue.js
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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…
A long list of (advanced) JavaScript questions, and their explanations ✨
Apache ECharts is a powerful, interactive charting and data visualization library for browser
scikit-learn: machine learning in Python
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.
A high-throughput and memory-efficient inference and serving engine for LLMs
Rich is a Python library for rich text and beautiful formatting in the terminal.
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.
🎆Interactive Online Platform that Visualizes Algorithms from Code