仓库/Skill 库

21 节课程，开启生成式 AI 应用开发之旅21 Lessons, Get Started Building with Generative AI

在 PyTorch 中从零开始逐步实现一个类似 ChatGPT 的 LLM。Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

LLM 入门课程，附路线图与 Colab notebookCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

学习它，构建它，并为他人发布Learn it. Build it. Ship it for others.

开箱即用的云模板，支持 RAG、AI 流水线与企业级搜索，接入实时数据。🐳Docker 友好。⚡始终与 Sharepoint、Google Drive、S3、Kafka、PostgreSQL 以及各类实时数据 API 保持同步。Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

深入讲解 LLM、RAG 以及真实场景 AI Agent 应用的教程。In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

📚 从零开始构建大模型

通过一条命令，使用 AI 编程 Agent 克隆任意网站Clone any website with one command using AI coding agents

O'Reilly 书籍《Hands-On Large Language Models》的官方代码仓库。Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

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）

围绕 PyTorch 在视觉、文本、强化学习等领域的一组示例。A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

50+ 教程与实现，覆盖生成式 AI Agent 技术，从基础对话机器人到复杂多 Agent 系统。50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

端到端、代码优先的教程，助你构建生产级 GenAI Agent，覆盖从原型到企业级部署的全流程。End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

《Machine Learning for Trading》第三版配套代码——从数据获取到实盘交易全流程。Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

机器学习工程开放手册。Machine Learning Engineering Open Book

Bartosz Milewski《Category Theory for Programmers》非官方 PDF 和 LaTeX 源码Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

示例 📓 Jupyter notebooks，演示如何使用 🧠 Amazon SageMaker 构建、训练和部署机器学习模型。Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

PraisonAI 🦞 — 雇佣一支 24/7 AI 团队。停止编写样板代码，开始交付自主且自我改进的 Agent，能够研究、规划、编码并执行任务。5 行代码即可部署，内置 memory、RAG，支持 100+ LLM。PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Transformer 可视化解析：通过交互式可视化学习 LLM Transformer 模型的工作原理。Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

22 种 prompt engineering 技术，附带 Jupyter Notebook 实战教程，覆盖从基础概念到利用 LLM 的高级策略。22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Astrid 的权威参考：内核、capsules、host ABI、IPC 和安全模型。The canonical reference for Astrid: kernel, capsules, host ABI, IPC, and the security model.

如何参与 Astrid 开发：polyrepo 布局、内核 dumb 法则、RFC 触发机制、贡献分级与发布流程。How to work on Astrid: the polyrepo, the kernel-is-dumb law, the RFC trigger, contribution tiers, and the release process. Part of Unicity Astrid OS.

Astrid 贡献者手册：多仓库、公共契约、贡献流程和发布工作流。Contributor handbook for Astrid: the polyrepo, public contracts, contribution process, and release workflow.

美股指南

⚡️ 下一代个人 AI 助手，由 LLM、RAG 和 Agent 循环驱动，支持 computer-use、browser-use 和 coding agent，演示地址：https://demo.openagentai.org⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

从零开始一步步用 PyTorch 实现一个推理 LLM。Implement a reasoning LLM in PyTorch from scratch, step by step

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

面向 Claude Code 和 Codex 的 AI 视频 skill —— 基于 Remotion 制作电影级产品视频：含 152 张分镜配方卡、209 个动效预览，以及一套开箱即用的模板。AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 152 shot recipe cards, 209 motion previews, a production-ready template

面向编码 Agent 的程序化视频方案——在本地将 HTML 转视频。把 HTML、CSS 与数据渲染为真实 MP4，支持可插拔渲染引擎、21 套模板与 AI 配乐。Apache-2.0，无按次计费。Open Design 团队的官方项目。Programmatic video for coding agents — HTML to video on your laptop. Turn HTML, CSS & data into real MP4s with pluggable render engines, 21 templates, AI soundtrack. Apache-2.0, no per-render fees. An official project by the Open Design team.

使用 LaTeX 撰写研究论文的技巧Tips for Writing a Research Paper using LaTeX

FDE（前沿部署工程师）从零入门指南（基于范冰《增长黑客》原书框架）

使用 LaTeX 撰写科学论文的最佳实践与技巧，图形由 Python 或 Matlab 生成Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

帮助初学者轻松上手 LaTeX 的简明入门指南。📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.

📚 OpenVINO™ 的 Jupyter notebook 教程。📚 Jupyter notebook tutorials for OpenVINO™