LLMRepos·Tutorials LLM projects

《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

Natural Language Processing Tutorial for Deep Learning Researchers

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply this strategy with any AI coding assistant!

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Repo to accompany my mastering LLM engineering course

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.

Implement a reasoning LLM in PyTorch from scratch, step by step

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

Curated tutorials and resources for Large Language Models, AI Painting, and more.

Summaries and notes on Deep Learning research papers

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

A library for transfer learning by reusing parts of TensorFlow models.

OneTrainer is a one-stop solution for all your Diffusion training needs.

Sparsity-aware deep learning inference runtime for CPUs

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Build a modern LLM from scratch. Every line commented. Explained like we are five.

A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书：教程、真实工作流、Skills、MCP、自动化与多智能体实践。

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.

Code and Slides

Mastering Applied AI, One Concept at a Time

Machine Learning Journal for Intermediate to Advanced Topics.

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

Awesome LLM Books: Curated list of books on Large Language Models

This repository is deprecated and will be archived

LLM&VLM Tutorial

Free, open-source curriculum for making money with generative AI image, video, and audio — for creators and agencies.

A comprehensive guide to building RAG-based LLM applications for production.

It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

Everything I know about running LLMs locally

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

「可能是全网最全的」📘 面向小白的 AI 编程 CLI 中文教程：Claude Code + Codex 92 篇精修

Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋