Project Library

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.

Chat interface for the ChatGPT platform.

A powerful tool that can generate deployable machine learning models from natural language instructions. It provides developers with an intuitive way to transform natural language instructions into executable models, thereby simplifying the process of model development and deployment. This project is highly valuable for research and applications in the field of natural language processing.

This project has implemented DragGAN, a point-based interactive method for manipulating image manifolds. It offers an intriguing and innovative approach to image manipulation and generation, catering to researchers and developers in the fields of computer graphics and generative models.

A columnar data format designed for quick versioning, querying, and training. It is tailored for images, videos, 3D point clouds, audio, and, of course, tabular data. It supports any POSIX file system as well as cloud storage services like AWS S3 and Google Cloud Storage.

This project offers a plug-and-play implementation of a thought tree, leveraging large language models to meticulously solve problems, thereby enhancing model reasoning by at least 70%. It aids users in more effectively organizing and analyzing complex thought processes.

MobileSAM is the official code for making SAM more lightweight and faster in the Segment Anything project. It offers efficient segmentation capabilities, assisting developers in handling the segmentation needs of any object. MobileSAM focuses on providing a more lightweight and efficient segmentation solution, enabling developers to build segmentation applications more rapidly.

Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" （DragGAN 全功能实现，在线Demo，本地部署试用，代码、模型已全部开源，支持Windows, macOS, Linux）

Qbot is an AI-oriented quantitative investment platform designed to harness the potential of quantitative investing through AI technology. The platform offers a suite of tools and features that enable investors to utilize AI for data analysis, model construction, and trade execution, bringing greater intelligence and efficiency to the field of quantitative investment.

A project that brings the concept of "Model as a Service" into practical application. It aims to assist developers in better managing and deploying machine learning models, offering a more visual and manageable approach to handling the model lifecycle. Through this project, developers can more efficiently build and manage their own models.

One aims to achieve autonomous operation of computers. Although no specific project description is provided, it can be inferred that the project involves computer automation and intelligent decision-making. This may include the use of machine learning and natural language processing technologies to enable computers to perform tasks more intelligently.

Official inference library for Mistral models

aider is AI pair programming in your terminal

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

Faster Whisper transcription with CTranslate2