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My learning notes/codes for ML SYS.
MCP DeepResearch Server: 基于 LangGraph + Ollama + Tavily 的深度研究服务器，支持异步运行、超时控制与进度推送
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 cont…
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
《AI全栈-全网优秀资源搜集站》：搜集全网优秀资源，记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI 全栈知识，涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.0 Flash and OpenAI's GPT-4.1…
Local Deep Research is an AI-powered assistant that transforms complex questions into comprehensive, cited reports by conducting iterative analysis using any LLM across diverse knowledge sources in…
LLM大模型（重点）以及搜广推等 AI 算法中手写的面试题，（非 LeetCode），比如 Self-Attention, AUC等，一般比 LeetCode 更考察一个人的综合能力，又更贴近业务和基础知识一点
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
开箱即用的基于企业私有知识库的LLM大语言模型的智能客服机器人问答系统，支持私有化部署，代码免费开源且可商用，由芝麻小客服官方推出。
A Comprehensive Toolkit for High-Quality PDF Content Extraction
MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems.
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser, Trae AI & Cluely (And other Open Sourced) System Prompts, Tools & AI Models.
Fully local web research and report writing assistant
MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Scaling Deep Research via Reinforcement Learning in Real-world Environments.
🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A multimodal AI Agent Stack, aims to ship a work form that is closer to human-like task completion through rich multimodal capabilities (GUI Agent, Vision) and seamless integration with various rea…