Curated list of project-based tutorials
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📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Learn AI Engineering! Learn it. Build it. Ship it for others.
100 Days of ML Coding
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Python 练习册，每天一个小程序
机场推荐、Clash / V2ray 客户端配置与代理工具指南
Practical Python Programming (course by @dabeaz)
TensorFlow Tutorials with YouTube Videos
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
🎆 A visualization of the CapsNet layers to better understand how it works
零基础入门大模型（LLM）的基础教程：从零手写 GPT-2，一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
30min F# tutorial with direct code-snippet back-to-back comparisons