Stars
AIDE: the state-of-the-art machine learning engineer agent, generating machine learning solution code from natural language descriptions.
A Stock Price prediction system using LLM and Multi-agent-system
Quantitative analysis, strategies and backtests
Repo for Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
An Open Large Reasoning Model for Real-World Solutions
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Python tool for converting files and office documents to Markdown.
Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
A high-throughput and memory-efficient inference and serving engine for LLMs
A novel created autonomously by a team of 10 AI agents
tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce insights.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
🚀 秘塔AI搜索逆向API【特长:超强检索超长输出】,支持高速流式输出、超强联网搜索(全网or学术以及简洁、深入、研究三种模式),零配置部署,多路token支持,仅供测试,如需商用请前往官方开放平台。
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Create Open XML PowerPoint documents in Python
一个轻量级、支持全链路且易于二次开发的大模型应用项目 基于 Dify 、Ollama&Vllm、Sanic 和 Text2SQL 📊 等技术构建的一站式大模型应用开发项目,采用 Vue3、TypeScript 和 Vite 5 打造现代UI。它支持通过 ECharts 📈 实现基于大模型的数据图形化问答,具备处理 CSV 文件 📂 表格问答的能力。同时,能方便对接第三方开源 RAG 系统 检…
A股量化实盘、模拟实盘。本项目基于券商接口,实现小市值策略DEMO在线实盘交易。您可参照本项目轻松实盘您的本地策略 #A股 #量化
Let your Claude able to think
A python module to repair invalid JSON, commonly used to parse the output of LLMs
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
A Notebook Web Client with Flexible Customization and Easy Integration.
DSPy: The framework for programming—not prompting—language models