ChaosAwaken's repositories
ai-code-translator
Use AI to translate code from one language to another.
AI-Products-All-In-One
彙整了真正實用的 ChatGPT 與生成式 AI 工具
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
bibliothecarius
Quickly build services to integrate your local data and AI models.
chatgpt-on-wechat
Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人，基于GPT3.5 API和itchat实现
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复
ColossalAI
Making large AI models cheaper, faster and more accessible
czsc
缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易
dataease
人人可用的开源数据可视化分析工具。
diagrams
:art: Diagram as Code for prototyping cloud system architectures
EasySpider
A visual no-code/code-free web crawler/spider一个可视化爬虫软件，可以无代码图形化设计和执行的爬虫任务
Flowise
Drag & drop UI to build your customized LLM flow
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
gpt-4-search
A command line GPT-4 REPL with Google search in 200 lines of code
gpt-search
Combine search results with a GPT prompt to get answers about current events.
gpt4-with-calc
GPT-4 Equipped with Numeric Calculation
langchain
⚡ Building applications with LLMs through composability ⚡
langflow
⛓️ LangFlow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
LLM_StableDiffusion_Studio
smart chinese LLm
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
obsidian-chinese-help
本文档是本人关于obsidian软件使用的心得汇总，用于obsidian群（QQ群号：774176839）的分享。
one-quant-doc
缠中说禅-缠论技术分析 实时自动笔段画线、中枢标识 递归分析整体走势 作为买卖分析参考
OpenPromptStudio
🥣 AIGC 提示词可视化编辑器
privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
pybroker
Algorithmic Trading in Python with Machine Learning
quivr
Dump all your files and thoughts into your GenerativeAI Second Brain and chat with it
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
wenda
闻达：一个LLM调用平台。目标为针对特定环境的高效内容生成，同时考虑个人和中小企业的计算资源局限性，以及知识安全和私密性问题