Stars
破茧 - 自动用系统浏览器打开WX公众号文章 | Auto-open WeChat articles in system browser
Open source AI terminal and SSH client for cloud and infrastructure
提供同花顺客户端/miniqmt/雪球的股票量化交易，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合
No fortress, purely open ground. OpenManus is Coming.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Know your data better！Datavines is Next-gen Data Observability Platform, support metadata manage and data quality.
橙单中台化低代码生成器。可完整支持多应用、多租户、多渠道、工作流 (Flowable & Activiti)、在线表单、自定义数据同步、自定义Job、多表关联、跨服务多表关联、框架技术栈自由组合等。
Examples and guides for using the GLM APIs
Analyzing insurance fraud claims using IBM Db2 graph database
DeepSeek-VL: Towards Real-World Vision-Language Understanding
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
雅意信息抽取大模型：在百万级人工构造的高质量信息抽取数据上进行指令微调，由中科闻歌算法团队研发。 (Repo for YAYI Unified Information Extraction Model)
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
🥤 COLA: Clean Object-oriented & Layered Architecture
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A series of large language models trained from scratch by developers @01-ai
HuggingLLM, Hugging Future.
FongMi影视和tvbox配置文件，如果喜欢，请Fork自用。使用前请仔细阅读仓库说明，一旦使用将被视为你已了解。