


Take stock of those ChatGPT open source projects that are working well
ChatGPT is very popular recently, and the news about ChatGPT is overwhelming. There are also many projects related to ChatGPT on Github, and the number of stars is growing rapidly. Let’s take a look at those ChatGPT open source projects that are fun!
Browser extension
ChatGPT for Google
ChatGPT for Google is a A browser extension that can display ChatGPT responses and Google search results, supporting Chrome/Edge/Firefox. The extension has the following features:
- Supports all mainstream search engines
- Supports OpenAI official API
- Quickly use ChatGPT from the plug-in pop-up window
- Support Markdown rendering
- Support code highlighting
- Support dark mode
- Customizable ChatGPT trigger mode
Github (⭐️ 10k): https://github.com/wong2/chat-gpt- google-extension.
ChatGPT Chrome Extension
A Chrome extension that adds ChatGPT to every text box on the web! Use it to compose tweets, edit emails, fix coding errors, or anything else you need, all without leaving the site you're on. Includes a plugin system for greater control over ChatGPT behavior and the ability to interact with third-party APIs.
Github (⭐️ 2k): https://github.com/gragland/chatgpt-chrome-extension.
微信
WeChat Bot
A WeChat bot implemented based on OpenAi ChatGPT WeChaty, which can be used to help you automatically reply WeChat messages, or manage WeChat groups/friends, detect zombie friends, etc.
Github (⭐️ 2.2k): https://github.com/wangrongding/wechat-bot.
wechat-chatgpt
Use ChatGPT on WeChat through wechaty, which supports practical OpenAI accounts, proxy login, and use with docker, etc. This tool is simple and easy to use. After installing the dependencies, you only need to fill in the OpenAI account password and scan the QR code on WeChat to use it. The features of this project are as follows:
- Connect ChatGPT to WeChat through wechaty
- Create an OpenAI account pool
- Support logging in to OpenAI through an agent
- Added the function of continuous dialogue
- Join Dockerfile
- Publish to Docker.hub
- Deploy through Railway
- Realize hot loading of OpenAI account pool
- Automatically retry when the OpenAI return code is 429/503
Wechaty is an open source chat robot project that provides an SDK for developing chat robots to facilitate developers to quickly implement Chatbot. Through Wechat, you can obtain WeChat chat content, contacts, groups, friend relationships and other information, and you can also create groups, send messages and other functions.
Github (⭐️ 7.9k): https://github.com/fuergaosi233/wechat-chatgpt.
VS Code plug-in
chatgpt-vscode
A VSCode extension based on ChatGPT that allows the use of unofficial ChatGPT API Generate question responses from OpenAI's ChatGPT directly in the editor. The plugin has the following features:
- Ask a question or use the code snippet in the editor to query ChatGPT via the input box in the sidebar.
- Right-click on the code selection to run a shortcut in the context menu.
- View ChatGPT's answers in the panel next to the editor.
- Ask follow-up questions to answers (keeping the conversation in context).
- Insert a code snippet into the active editor by clicking on the AI's response.
##Github (⭐️ 3.4k): https://github.com/mpociot/chatgpt-vscode.
vscode-chatgpt
A Visual Studio Code extension that supports ChatGPT, which can be paired with ChatGPT for programming. It supports exporting all conversation history in Markdown format at once, which is simple and easy to use. You only need to log in to OpenAI, or use OpenAI's official GPT3 API. Create files/projects or fix code with a single click or using keyboard shortcuts to increase development efficiency.Github (⭐️ 462k): https://github.com/gencay/vscode-chatgpt.
ChatGPT Chinese version
A VSCode plug-in that integrates ChatGPT into VSCode to improve development efficiency. Currently supported code functions include:- ChatGPT: Please enter a question: ask a question directly to ChatGPT.
- ChatGPT: Add test code: Add test code for the currently selected code or current file.
- ChatGPT: Why is there a problem with the code (you need to select the error report at the same time): To ask about the problems in the code, you need to select the error report as well.
- ChatGPT: Optimize this part of the code: optimize or reconstruct the currently selected code or current file.
- ChatGPT: Explain this part of the code: Explain the currently selected code, or the current file.
- ChatGPT: Execute custom command 1: Add a custom command 1 that is executed on the selected code or the current file. It can be executed directly after adding it.
- ChatGPT: Execute custom command 2: Add a custom command 2 that is executed on the selected code or the current file. It can be executed directly after adding it.
- All subsequent questions, answers, and exceptions. will be displayed in this window.
- You can directly enter the question in the input box at the bottom of the interactive window to ask ChatGPT
- You can also execute the previous command to ask the code.
Plug-in address: https://marketplace.visualstudio.com/items?itemName=WhenSunset.chatgpt-china.
Desktop Application
ChatGPT
ChatGPT desktop application, suitable for Mac, Windows and Linux platforms, this project is only for A wrapper around the OpenAI ChatGPT website, with no additional data collection and uploading. This project has the following features:- Cross-platform: macOS, Linux, Windows
- Export ChatGPT chat records (supports PNG, PDF and generate sharing links)
- Main The window and system tray support custom URLs, packaging any website into a desktop application
- Automatic application upgrade notification
- Rich shortcut keys
- System tray floating window
- The application menu is powerful
- Supports slash commands and their configuration
- Customized global shortcut keys
- Word search
Github (⭐️ 14.3k): https://github.com/lencx/ChatGPT.
chatgpt-mac
A simple Mac application that allows ChatGPT to be displayed in the menu bar. On Mac, you can use the Cmd Shift G shortcut key to Open it quickly. Currently, there are installation packages for Arm64 and Intel versions of Mac.
##Github (⭐️ 3.8k):
https://github.com/vincelwt/chatgpt-mac.
chatgpt-desktopAn unofficial open source ChatGPT desktop application based on tauri and rust, suitable for mac, windows and linux menu bars.
Github (⭐️ 1.1k): https://github.com/sonnylazuardi/chatgpt-desktop.
Others
ChatGPT API
An unofficial Node.js client of ChatGPT API, you can Use it to build projects powered by ChatGPT, such as chatbots, websites, etc.
Github (⭐️ 8.3k): https://github.com/transitive-bullshit/chatgpt-api.
ChatGPT Export and Share
A Chrome extension for downloading ChatGPT history as PNG, PDF or creating shareable links. Currently supports Chrome, Edge, and Firefox browsers.
Github (⭐️ 656): https://github.com/liady/ChatGPT-pdf.
Access-chatGPT-in-Siri
Siri access ChatGPT guide, currently only available on iPhone and other Apple products that support shortcut commands.
Github (⭐️ 281): https://github.com/Daiyimo/Access-chatGPT-in-Siri.
The above is the detailed content of Take stock of those ChatGPT open source projects that are working well. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Text annotation is the work of corresponding labels or tags to specific content in text. Its main purpose is to provide additional information to the text for deeper analysis and processing, especially in the field of artificial intelligence. Text annotation is crucial for supervised machine learning tasks in artificial intelligence applications. It is used to train AI models to help more accurately understand natural language text information and improve the performance of tasks such as text classification, sentiment analysis, and language translation. Through text annotation, we can teach AI models to recognize entities in text, understand context, and make accurate predictions when new similar data appears. This article mainly recommends some better open source text annotation tools. 1.LabelStudiohttps://github.com/Hu

Image annotation is the process of associating labels or descriptive information with images to give deeper meaning and explanation to the image content. This process is critical to machine learning, which helps train vision models to more accurately identify individual elements in images. By adding annotations to images, the computer can understand the semantics and context behind the images, thereby improving the ability to understand and analyze the image content. Image annotation has a wide range of applications, covering many fields, such as computer vision, natural language processing, and graph vision models. It has a wide range of applications, such as assisting vehicles in identifying obstacles on the road, and helping in the detection and diagnosis of diseases through medical image recognition. . This article mainly recommends some better open source and free image annotation tools. 1.Makesens

DALL-E 3 was officially introduced in September of 2023 as a vastly improved model than its predecessor. It is considered one of the best AI image generators to date, capable of creating images with intricate detail. However, at launch, it was exclus

Face detection and recognition technology is already a relatively mature and widely used technology. Currently, the most widely used Internet application language is JS. Implementing face detection and recognition on the Web front-end has advantages and disadvantages compared to back-end face recognition. Advantages include reducing network interaction and real-time recognition, which greatly shortens user waiting time and improves user experience; disadvantages include: being limited by model size, the accuracy is also limited. How to use js to implement face detection on the web? In order to implement face recognition on the Web, you need to be familiar with related programming languages and technologies, such as JavaScript, HTML, CSS, WebRTC, etc. At the same time, you also need to master relevant computer vision and artificial intelligence technologies. It is worth noting that due to the design of the Web side

Installation steps: 1. Download the ChatGTP software from the ChatGTP official website or mobile store; 2. After opening it, in the settings interface, select the language as Chinese; 3. In the game interface, select human-machine game and set the Chinese spectrum; 4 . After starting, enter commands in the chat window to interact with the software.

New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.

FP8 and lower floating point quantification precision are no longer the "patent" of H100! Lao Huang wanted everyone to use INT8/INT4, and the Microsoft DeepSpeed team started running FP6 on A100 without official support from NVIDIA. Test results show that the new method TC-FPx's FP6 quantization on A100 is close to or occasionally faster than INT4, and has higher accuracy than the latter. On top of this, there is also end-to-end large model support, which has been open sourced and integrated into deep learning inference frameworks such as DeepSpeed. This result also has an immediate effect on accelerating large models - under this framework, using a single card to run Llama, the throughput is 2.65 times higher than that of dual cards. one

Paper address: https://arxiv.org/abs/2307.09283 Code address: https://github.com/THU-MIG/RepViTRepViT performs well in the mobile ViT architecture and shows significant advantages. Next, we explore the contributions of this study. It is mentioned in the article that lightweight ViTs generally perform better than lightweight CNNs on visual tasks, mainly due to their multi-head self-attention module (MSHA) that allows the model to learn global representations. However, the architectural differences between lightweight ViTs and lightweight CNNs have not been fully studied. In this study, the authors integrated lightweight ViTs into the effective
