《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

数字生命卡兹克开源的 AI Skills 合集 | Agent Skills: leader（帮你定义目标）, neat-freak 洁癖, hv-analysis, khazix-writer & more — Claude Code, Codex & 40+ agents

Pyzotero: a Python client for the Zotero API

dontbesilent 的商业诊断 Skills

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

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深度拆书机 — Claude Code Skill，三轮认知压缩提取书籍可学习结构

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost…

An agentic skills framework & software development methodology that works.

Public repository for Agent Skills

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents…

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🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

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Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our p…

中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型

The simplest, fastest repository for training/finetuning medium-sized GPTs.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

A book for Learning the Foundations of LLMs

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Train transformer language models with reinforcement learning.

LLMs-from-scratch项目中文翻译

Train transformer language models with reinforcement learning.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

LLMs-from-scratch项目中文翻译

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

https://hrl.boyuai.com/

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。