ZHANG Qingyu

Run local Codex CLI from Feishu/Lark chat, with sessions, attachments, and background service support.

A bridge that connects the Feishu or Lark chat apps to OpenAI Codex so you can type coding instructions in chat and have Codex run terminal commands and edit files on your local machine in real time.

AI serialized novel writing + auto-publishing system. Daily mystery chapters with anti-AI detection, clue tracking, and Fanqie Novel integration.

An information management system using database.

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

Gin & Sake's World - A cute cat blog

No description.

A robot powered training repository :robot:

QY Blog ->

Swiper/carousel component for React Native featuring previews, multiple layouts, parallax images, performant handling of huge numbers of items, and more. Compatible with Android & iOS.

:snowflake: a short introduction to node.js

The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media

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Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Source code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Statistical basis for ML

Python - 100天从新手到大师

Must-read papers on network representation learning (NRL) / network embedding (NE)

100 numpy exercises (with solutions)

Python 练习册，每天一个小程序

吴恩达老师的机器学习课程个人笔记

As one of the best materials for learning machine learning, AndrewNg gave a good guide to ML on cousera. This is a learning records of extraction points and assignment realization by Python.

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

SimpleClock is a macOS application which can bring basic time functions but with better user experience.

Create a full-fledged backend server and your app logic and running API in less than 3 mins.