zengyang7 / ConstrainedGANs

This is the code for paper " Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems"

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Physics Constrained GANs

Introduction

This repository contains the code and example cases for the following paper:

Y. Zeng, J.L. Wu, and H. Xiao. Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems. Submitted, 2019.

Developed by Yang Zeng at https://www.aoe.vt.edu/people/faculty/xiaoheng/personal-page.html[Dr. Heng Xiao's Data Enabled Computational Mechanics group] at Virginia Tech . Our implementation is built upon the standard, baseline https://github.com/wiseodd/generative-models [GANs implementation] by Kristiadi et al.

Requires

  1. Python 3.X
  2. Tensorflow 1.12.0
  3. Numpy
  4. Scipy

Reference

  1. https://github.com/zengyang7/CIFAR-ZOO
  2. https://github.com/wiseodd/generative-models

About

This is the code for paper " Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems"


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