Project Library

It collects some regular expressions that are often used in project development.

The keystrokes are captured by the microphone and then deduced into specific input content. Detailed operation can be seen in the video demonstration

If you want to ensure the privacy of data when live streaming with friends, you can build your own real-time streaming server using the Owncast project on GitHub.

A modern 3D game engine developed based on C++ and C#: FlaxEngine, which is committed to optimizing the existing game workflow and can be quickly installed using Visual Studio.

An open-source H5 remote desktop gateway with small size, easy installation, easy use and low resource consumption. It supports the connection and management of RDP, SSH, VNC and Telnet protocols

A simple SQLite graph database on GitHub, which can be applied to social networks, to-do lists, CRM, Gantt charts, and other fields.

A relatively practical test website: JSON Perf, which can perform benchmark performance tests for serialization and deserialization of JSON libraries in different languages.

It contains a total of 550+ high-quality SVG icons, allowing users to customize the size, color, and line thickness of the icons.

It provides more than 1200 high-quality icons and offers an interface to help you customize the icons.

Go language tutorial, teach you how to make some practical things in 7 days with Go, such as Web framework, distributed cache, ORM framework, etc.

"30 Days to Eat TensorFlow 2.0" This tool book has both tutorials and guides, and the content is designed according to the difficulty of the content, the reader's retrieval habits and the hierarchy of TensorFlow itself, so that developers can find corresponding examples in a progressive and clear manner according to the functions.

The Effective PyTorch tutorial is dedicated to helping engineers learn the basics and development skills of PyTorch in a correct way and more quickly.

"The React.js Little Book" is a book for those who have some front-end foundation and are beginners in React.js, to help them master React.js and flexibly apply React.js to practical projects.

"Joyful-Pandas" will start from four modules of Pandas foundation, data analysis methods, data processing types and hands-on practice to systematically learn Pandas

The entire book of "Interpretable Machine Learning" has a total of more than 250 pages, 78,000 words and more than 1,200 submissions.