https://github.com/devnag/pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch
https://github.com/devnag/pytorch-generative-adversarial-networks

deep-learning gan gans machine-learning pytorch

Last synced: about 2 months ago
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A very simple generative adversarial network (GAN) in PyTorch

• Host: GitHub
• URL: https://github.com/devnag/pytorch-generative-adversarial-networks
• Owner: devnag
• License: apache-2.0
• Created: 2017-02-11T01:15:16.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-06-30T21:44:59.000Z (about 3 years ago)
• Last Synced: 2024-06-09T01:34:09.254Z (3 months ago)
• Topics: deep-learning, gan, gans, machine-learning, pytorch
• Language: Python
• Size: 8.79 KB
• Stars: 1,515
• Watchers: 50
• Forks: 457
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Generative Adversarial Networks (GANs) in PyTorch

===============

### Introduction

See https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f#.sch4xgsa9 for the relevant blog post.

### Running

Run the sample code by typing:

```

./gan_pytorch.py

```

...and you'll train two nets to battle it out on a shifted/scaled Gaussian distribution. The 'fake' distribution should match the 'real' one within a reasonable time.