A collection of Chinese-language circumvention tools, bundled Chrome/Firefox proxy packs, and setup tutorials for V2Ray, Shadowsocks, and related clients.
An open, bilingual Chinese-language book-guide on lifelong learning in the AI era, covering English study, AI learning, real projects, and personal recovery.
A curated Chinese-language handbook of ways to earn side income with AI, covering tools, platforms, and content strategies.
Chinese translation of the Deep Learning textbook by Goodfellow, Bengio, and Courville, with community proofreading.
An open-source, animated, illustrated tutorial on data structures and algorithms with runnable code in many languages.
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
A free, self-paced computer science curriculum assembled from online courses and books, modeled on undergraduate CS degree requirements.
Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.
Example notebooks and guides showing how to accomplish common tasks with the OpenAI API.
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
Open-source LaTeX textbook teaching introductory systems programming in C on Linux and POSIX, used in UIUC's CS 341 course.
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
Source repository for the Home Assistant user documentation website, built with Jekyll.
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
Official documentation site with tutorials and how-to guides for using the Nix package manager and NixOS.
A free book teaching the foundations needed to write an operating system from scratch on x86_64.
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
A free online book teaching Vim and Vimscript, covering core editing concepts from beginner basics to advanced features and plugin writing.
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.
A video course with Jupyter notebooks that builds neural networks and backpropagation from scratch, from basics to Transformer language models.
A collection of Jupyter notebook exercises with instructions and solutions for practicing pandas skills by topic.