Popular GitHub Repositories for Expression Browser

Make websites accessible for AI agents

? Assemble, configure, and deploy autonomous AI Agents in your browser.

? Web File Browser

基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

High-performance In-browser LLM Inference Engine

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

State-of-the-art Machine Learning for the web. Run ? Transformers directly in your browser, with no need for a server!

Automate browser-based workflows with LLMs and Computer Vision

Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.

Let AI be your browser operator.

? Power Your World with AI - Explore, Extend, Empower.

WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

Turn any webpage into structured data using LLMs

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

Run Keras models in the browser, with GPU support using WebGL