A simple light weight react package to extract plain text from a pdf file.

🚀 Beautiful, fast and modern React UI library.

Documentation generator for TypeScript projects.

📄 Create PDF files using React

A JavaScript PDF generation library for Node and the browser

Markdown component for React

Official electron build of draw.io

A simple tool to animate polylines and polygons in different way

(ongoing) oofsuite - Run AI Models Locally - Browser Based - LLM Chat Interface, Summarization , etc. Page paths - /text-chat , /text-classification , /text-generation , /text-summarize

⚡ Next.js + Electron ⚡

Git extension for versioning large files

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

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

LLM inference in C/C++

Run Large-Language Models (LLMs) 🚀 directly in your browser!

🧘 Rewrite of a fully-featured GraphQL Server with focus on easy setup, performance & great developer experience. The core of Yoga implements WHATWG Fetch API and can run/deploy on any JS environment.

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.

Deep Learning for humans

A natural language interface for computers

🚫💩 — Run linters on git staged files

Git hooks made easy 🐶 woof!

Generate PlantUML class diagrams to document your Python application.

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

🐚 OpenDevin: Code Less, Make More

Keras documentation, hosted live at keras.io

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.