Stars
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Framework agnostic table component for editable data experience.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Fully customizable AI chatbot component for your website
AI Elements Vue is a component library built on top of shadcn-vue to help you build AI-native applications faster.
Perplexica is an AI-powered answering engine.
Production-ready platform for agentic workflow development.
PowerPoint-ist(/'pauəpɔintist/), An online presentation application that replicates most of the commonly used features of MS PowerPoint, allowing for the editing and presentation of PPT online. Sup…
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
Python tool for converting files and office documents to Markdown.
A utility package to help implement stateless CSRF protection using the Double Submit Cookie Pattern in express.
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Starter files, final projects and FAQ for my Advanced CSS course
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
ImageBind One Embedding Space to Bind Them All
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Examples for ALL GUI elements in OpenCV in python.
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, …
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.