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
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!
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)
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.
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.
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.
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
guipsamora / pandas_exercises
Practice your pandas skills!
wesm / pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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。
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.