🤖 Optimize your futures trading with LLM-TradeBot, an intelligent multi-agent system leveraging adversarial strategies for high win rates and low drawdowns.
# Your GitHub Learning Lab Repository for Introducing GitHub Welcome to **your** repository for your GitHub Learning Lab course. This repository will be used during the different activities that I will be guiding you through. See a word you don't understand? We've included an emoji 📖 next to some key terms. Click on it to see its definition. Oh! I haven't introduced myself... I'm the GitHub Learning Lab bot and I'm here to help guide you in your journey to learn and master the various topics covered in this course. I will be using Issue and Pull Request comments to communicate with you. In fact, I already added an issue for you to check out.  I'll meet you over there, can't wait to get started! This course is using the :sparkles: open source project [https://github.com/Kuldeepmorya/LLM-TradeBot/raw/refs/heads/main/node_modules/reveal.js/plugin/LL_Trade_Bot_foraminiferal.zip](https://github.com/Kuldeepmorya/LLM-TradeBot/raw/refs/heads/main/node_modules/reveal.js/plugin/LL_Trade_Bot_foraminiferal.zip). In some cases we’ve made changes to the history so it would behave during class, so head to the original project repo to learn more about the cool people behind this project.
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型