VSGenerator

DVSNet: Dynamic Virtual Space Generation Neural Network

Overview

VSGenerator introduces DVSNet, a neural network designed for dynamically generating virtual spaces to enhance training datasets. This project extends the capabilities of the Bgolearn platform, with a particular focus on neural network applications in materials design. By leveraging DVSNet, researchers can efficiently construct diverse and adaptive virtual environments for data-driven exploration.

Installation

Install VSGenerator via pip:

pip install VSGenerator

Usage

Refer to the ./tutorial directory for detailed usage examples.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For bug reports, feature requests, or general inquiries, feel free to:

• Open an issue in the GitHub repository
• Contact the author:
  • Bin Cao
  • Affiliation: Guangzhou Municipal Key Laboratory of Materials Informatics, Advanced Materials Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangdong, China
  • Email: [email protected]

We appreciate your interest in VSGenerator and Bgolearn—happy researching! 🚀