Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

A topic-centric list of HQ open datasets.

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

coze 的200+工作流合集汇总，一直更新

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

企业级RAG系统从入门到精通

🤓 Build your own (insert technology here) simplified chinese version

Master programming by recreating your favorite technologies from scratch.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

🚀 Kaggle Problem Solver: AI-powered ML challenge automation Plan, code, and execute Kaggle solutions with intelligent agents. Boost your data science workflow! 🧠📊

A simple agent built on LangGraph

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

Awesome curated collection of images and prompts generated by GPT-4o and gpt-image-1. Explore AI generated visuals created with ChatGPT and Sora, showcasing OpenAI’s advanced image generation capabilities.

本仓库包含对 Claude Code v1.0.33 进行逆向工程的完整研究和分析资料。包括对混淆源代码的深度技术分析、系统架构文档，以及重构 Claude Code agent 系统的实现蓝图。主要发现包括实时 Steering 机制、多 Agent 架构、智能上下文管理和工具执行管道。该项目为理解现代 AI agent 系统设计和实现提供技术参考。

FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser, Xcode, Trae AI & Cluely (And other Open Sourced) System Prompts, Tools & AI Models.

Implementation of my RAG system that won all categories in Enterprise RAG Challenge 2

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

An AI agent powered by LLMs that streamlines the entire process of data analysis. 🚀

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Implementation of all RAG techniques in a simpler way

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。正如刘焕勇老师所言：RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。

Script for calculating the optimal cut-off for max. F1-score or accuracy

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

Computer science books Recommended by AzatAI. (Education ONLY)

阿里云天池大赛赛题解析