LLMRepos·Courses & Fundamentals 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

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.

《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.

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.

Awesome Reasoning LLM Tutorial/Survey/Guide

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

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

A curated list of awesome embedding models tutorials, projects and communities.

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

📚 《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

《构筑大语言模型应用：应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书，介绍了大语言模型的基础知识和应用，以及如何构建自己的模型。其中包括Prompt的编写、开发和管理，探索最好的大语言模型能带来什么，以及LLM应用开发的模式和架构设计。

This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

Learn LLM internals step by step - from tokenization to attention to inference optimization.

A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline. The 2026 cohort starts August 31.

Minimal and annotated implementations of key ideas from modern deep learning research.

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

A set of LLM Tutorials from my youtube channel

A deep dive into embeddings starting from fundamentals

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/