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
microsoft / ai-agents-for-beginners
18 Lessons to Get Started Building AI Agents
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
HandsOnLLM / Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
anthropics / claude-cookbooks
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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
openai / openai-cookbook
Examples and guides for using the OpenAI API
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.
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
udlbook / udlbook
Understanding Deep Learning - Simon J.D. Prince
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
NVIDIA / accelerated-computing-hub
NVIDIA curated collection of educational resources related to general purpose GPU programming.
ed-donner / llm_engineering
Repo to accompany my mastering LLM engineering course
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.
NirDiamant / agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
NVIDIA-NeMo / Nemotron
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
microsoft / Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
karpathy / nn-zero-to-hero
Neural Networks: Zero to Hero
DataTalksClub / machine-learning-zoomcamp
Learn ML engineering for free in 4 months! Register here 👇🏼
guipsamora / pandas_exercises
Practice your pandas skills!
alirezadir / AIMLInterviews
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
Liquid4All / cookbook
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
wesm / pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
duoan / TorchCode
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
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。
GoogleCloudPlatform / generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
leandromoreira / digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
google-gemma / cookbook
A collection of guides and examples for the Gemma open models from Google.
fivethirtyeight / data
Data and code behind the articles and graphics at FiveThirtyEight
DataExpert-io / data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
karpathy / micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
langchain-ai / rag-from-scratch
Jupyter notebooks and a video playlist that teach retrieval augmented generation (RAG) step by step, from indexing to generation.
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
nebius / token-factory-cookbook
A collection of guides and code examples for building AI applications with open models on Nebius Token Factory.