Willow Is a Practical, Open Source, Privacy-focused Platform for Voice Assistants and Other Applications.
Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative.
Willow is an ESP IDF based project primarily targeting the ESP32-S3-BOX hardware family from Espressif. Our goal is to provide Amazon Echo/Google Home competitive performance, accuracy, cost and functionality with Home Assistant, openHAB and other platforms.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue).
A simple tool to convert screenshots, mockups and Figma designs into clean, functional code using AI.
Open Source Agents for Developers
Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles.
The open-source AI-native IDE. Powered by the state-of-the-art agentic framework on swebench-lite.
Aide is the Open Source AI-native code editor. It is a fork of VS Code, and integrates tightly with the leading agentic framework on swebench-lite.
Build Python Data & AI web applications.
Turns Data and AI algorithms into production-ready web applications in no time.
Taipy is designed for data scientists and machine learning engineers to build data & AI web applications.
From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability.
Structured text generation and robust prompting for language models.
Outlines is a Python library that allows you to use Large Language Model in a simple and robust way (with structured generation). It is built by .txt, and is already used in production by many companies.
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
On-device AI across mobile, embedded and edge for PyTorch
ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.
OmniParser is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements, which significantly enhances the ability of GPT-4V to generate actions that can be accurately grounded in the corresponding regions of the interface.
Zero shot vulnerability discovery using LLMs. A tool to identify remotely exploitable vulnerabilities using LLMs and static code analysis.
Vulnhuntr leverages the power of LLMs to automatically create and analyze entire code call chains starting from remote user input and ending at server output for detection of complex, multi-step, security-bypassing vulnerabilities that go far beyond what traditional static code analysis tools are capable of performing.
Generative AI Scripting.
Programmatically assemble prompts for LLMs using JavaScript.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Personalized AI SQL Agent. Let Vanna.AI write your SQL for you
The fastest way to get actionable insights from your database just by asking questions.
🤖 CLI AI Assistant
A simple command-line AI assistant that translates natural language into shell commands. Supports all Windows and Unix-based systems (Linux, MacOS).
Open source AI. Code Reviews and Docs.
Customizable LLM-enabled workflows to automate reviews, docs and patches.
Patchwork automates development gruntwork like PR reviews, bug fixing, security patching, and more using a self-hosted CLI agent and your preferred LLMs. Try the hosted version here.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Meta Lingua is a minimal and fast LLM training and inference library designed for research. Meta Lingua uses easy-to-modify PyTorch components in order to try new architectures, losses, data, etc. We aim for this code to enable end to end training, inference and evaluation as well as provide tools to better understand speed and stability. While Meta Lingua is currently under development, we provide you with multiple apps to showcase how to use this codebase.