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Top 23 gpt-4 Open-Source Projects
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AutoGPT
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.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
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Lobe Chat
LobeChat is a open-source, extensible (Function Calling), high-performance chatbot framework.It supports one-click free deployment of your private ChatGPT/LLM web application.
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autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
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chatgpt-on-wechat
基于大模型搭建的聊天机器人，同时支持 微信 公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT4.0/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
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Hello-Python
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
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LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
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FastGPT
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
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DB-GPT
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
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pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
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shell_gpt
A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
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AutoGPT is a framework that seems nice. It has a cool CLI and a flutter UI to create agents from the browser. Its main purpose is to work with your local stuff (documents, audio, videos, etc)
Project mention: gpt4-openai-api VS gpt4free - a user suggested alternative | libhunt.com/r/gpt4-openai-api | 2024-01-04I cant install
I recently managed to manually install the AnkiBrain addon, utilizing my personal ChatGPT API key. I'd like to extend my appreciation for creating such a useful tool. However, I've noticed a significant difference in speed compared to a local GUI, similar to what's offered by GPT Academic.
Project mention: How We Saved 10s of Thousands of Dollars Deploying Low Cost Open Source AI Technologies At Scale with Kubernetes | dev.to | 2024-05-13One of my personal favorite OpenAI resources these days is the OpenAI Cookbook: this is an excellent way to start learning how their different models work, how to start taking advantage of the many cutting edge techniques in the AI space, and how to start integrating your data with AI workloads.
Project mention: Show HN: ffmpeg-english "capture from /dev/video0 every 1 second to jpg files" | news.ycombinator.com | 2024-05-19
Project mention: The AI Revolution Is Crushing Thousands of Languages | news.ycombinator.com | 2024-04-25Get your OpenAI API key and then use it on one of the hundreds of open source frontends available, such as: https://github.com/lobehub/lobe-chat
Project mention: The world's most-powerful AI model suddenly got 'lazier' and 'dumber.' A radical redesign of OpenAI's GPT-4 could be behind the decline in performance. | /r/ChatGPT | 2023-07-13
Project mention: Pake – Turn any webpage into a desktop app with Rust | news.ycombinator.com | 2023-11-29
Project mention: Chatbox (latest versions) is not open source; AskHN: anything similar? | news.ycombinator.com | 2024-02-08
Project mention: PaliGemma: Open-Source Multimodal Model by Google | news.ycombinator.com | 2024-05-15Here's a tutorial https://wandb.ai/byyoung3/ml-news/reports/How-to-Fine-Tune-L...
There's not really a super easy to use software solution yet, but a few different ones have cropped up. Right now you'll have to read papers to get the training recipes.
- https://github.com/haotian-liu/LLaVA/blob/main/scripts/finet...
Interact your data and environment using the local GPT (https://github.com/csunny/DB-GPT)
Project mention: PandasAI is great but is there a more general library? | news.ycombinator.com | 2023-08-23
Project mention: Raft: Sailing Llama towards better domain-specific RAG | news.ycombinator.com | 2024-05-09Retrieval-Augmented Fine-Tuning is a really promising technique.
FTA:
> Tianjun and Shishir were looking to improve these deficiencies of RAG. They hypothesized that a student who studies the textbooks before the open-book exam would be more likely to perform better than a student who references the textbook only during the exam. Translating that back to LLMs, if a model “studied” the documents beforehand, could that improve its RAG performance?
Incidentally, the team who wrote the paper released some nice code to generate domain-specific fine-tuning datasets: https://github.com/ShishirPatil/gorilla/tree/main/raft
Link [Github]
Project mention: Ask HN: What's with the Gatekeeping in Open Source? | news.ycombinator.com | 2024-05-02Today I tried to post my open source project on the /r/opensource subreddit. It's an AGPL 3.0-licensed, terminal-based AI coding tool that defaults to OpenAI, but can also be used with other models, including open source models.
The subreddit's rules in the sidebar state that a project must be open source under the definition on Wikipedia (https://en.wikipedia.org/wiki/Open_source) and also that limited and responsible self-promotion is ok.
My post was automatically blocked, seemingly by the mere mention of "OpenAI". The auto-message stated that "ChatGPT wrappers" were not allowed on the subreddit.
I messaged the mods to tell them about the mistake, since my project plainly was not a "ChatGPT wrapper". One of them replied saying only "Working as intended" and that because my project uses OpenAI models by default, that it isn't welcome in the subreddit.
I asked why projects using OpenAI in particular are penalized (despite this being mentioned nowhere in the rules on the sidebar), considering that there are many posts for projects interfacing with MacOS, Windows, AWS, GitHub, and countless other closed source technologies. I received no answer to this question. I was only told that any project "advertising" OpenAI was "against the spirit of FOSS" and therefore did not belong on the subreddit. The mod also continued derisively referring to my project as a "ChatGPT wrapper" and "OpenAI plugin" despite my earlier explanation. I was also called "egocentric" for wanting to share my project.
It made me sad that a subreddit with over 200k members that seems to have a lot of cool discussions going on is being moderated like this. What's with all the gatekeeping? Why are people so interested in excluding the "wrong" type of open source projects? As far as I'm concerned, if you have an open source license and people can run your code, then your project is open source.
Am I right to be miffed by this or does the moderator have a point? Have you experienced this kind of thing with your own projects? How have you dealt with it?
This is my project, by the way: https://github.com/plandex-ai/plandex
https://github.com/TheR1D/shell_gpt?tab=readme-ov-file#shell...
Unfortunately, you're using sashabaranov/go-openai, which has different api behavior than the official langchain python package [0].
I was hoping this would be a drop in replacement for langchain (so DS ppl can code in python and gophers can port it to production).
[0] - https://github.com/sashabaranov/go-openai#why-dont-we-get-th...
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
gpt-4 related posts
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Calling code with local LLM is a hoax
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Show HN: ffmpeg-english "capture from /dev/video0 every 1 second to jpg files"
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PaliGemma: Open-Source Multimodal Model by Google
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How We Saved 10s of Thousands of Dollars Deploying Low Cost Open Source AI Technologies At Scale with Kubernetes
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Show HN: A better UI for ChatGPT, Claude with text search, saved chats and more
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The Smartest People in the Room Are All Listening to the Same Podcast
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Ask HN: How to build in-house and prive code review assisten with AI?
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A note from our sponsor - SaaSHub
www.saashub.com | 21 May 2024
Index
What are some of the best open-source gpt-4 projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | AutoGPT | 162,161 |
| 2 | gpt4free | 58,106 |
| 3 | gpt_academic | 58,363 |
| 4 | openai-cookbook | 56,644 |
| 5 | open-interpreter | 49,016 |
| 6 | Lobe Chat | 31,363 |
| 7 | Mr.-Ranedeer-AI-Tutor | 26,852 |
| 8 | autogen | 25,821 |
| 9 | chatgpt-on-wechat | 25,427 |
| 10 | Pake | 23,395 |
| 11 | Hello-Python | 22,850 |
| 12 | chatbox | 18,837 |
| 13 | LLaVA | 16,713 |
| 14 | FastGPT | 13,425 |
| 15 | botpress | 12,038 |
| 16 | DB-GPT | 11,202 |
| 17 | pandas-ai | 11,214 |
| 18 | gorilla | 10,276 |
| 19 | awesome-chatgpt-zh | 10,052 |
| 20 | BingGPT | 9,353 |
| 21 | plandex | 9,497 |
| 22 | shell_gpt | 8,391 |
| 23 | go-openai | 8,327 |
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