Lordog / dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
Lordog / dive-into-llms
microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
datawhalechina / diy-llm
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
jackfrued / Python-100-Days
Python - 100天从新手到大师
microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
mrdbourke / zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
chiphuyen / aie-book
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
datawhalechina / happy-llm
📚 从零开始构建大模型
NirDiamant / RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
google-research / google-research
Google Research
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
hugo2046 / QuantsPlaybook
量化研究-券商金工研报复现
datawhalechina / self-llm
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
xiaolai / the-craft-of-selfteaching
One has no future if one couldn't teach themself.
GokuMohandas / Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
anthropics / prompt-eng-interactive-tutorial
Anthropic's Interactive Prompt Engineering Tutorial
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
microsoft / mcp-for-beginners
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
microsoft / Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
DataTalksClub / machine-learning-zoomcamp
Learn ML engineering for free in 4 months! Register here 👇🏼
alirezadir / AIMLInterviews
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
datawhalechina / llm-algo-leetcode
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程，覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
greyhatguy007 / Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG