https://github.com/anujdutt9/generative-adversarial-networks

Implementation of Ian Goodfellow's paper on "Generative Adversarial Networks (GAN)".
https://github.com/anujdutt9/generative-adversarial-networks

gan generative-adversarial-network ian-goodfellow numpy python-3-5 scipy tensorflow

Last synced: 3 days ago
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Implementation of Ian Goodfellow's paper on "Generative Adversarial Networks (GAN)".

• Host: GitHub
• URL: https://github.com/anujdutt9/generative-adversarial-networks
• Owner: anujdutt9
• Created: 2017-03-27T21:10:08.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-03-27T21:10:40.000Z (over 7 years ago)
• Last Synced: 2024-12-20T23:24:23.212Z (5 days ago)
• Topics: gan, generative-adversarial-network, ian-goodfellow, numpy, python-3-5, scipy, tensorflow
• Language: Python
• Homepage: https://anujdutt9.github.io/GAN-PI.html
• Size: 188 KB
• Stars: 6
• Watchers: 4
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Generative Adversarial Networks

***This repository contains the code for Generative Adversarial Network for 1-D Input sample using Python 3 and Tensorflow.***

# Requirements

1. **Tensorflow**

2. **Numpy**

3. **Scipy**

# Resources

| S.No.  |                       Papers / Blogs / Authors            |                        Paper Links                   |

| ------ | --------------------------------------------------------- | ---------------------------------------------------- |

|1.      |     "Generative Adversarial Networks" by Ian Goodfellow   |              https://arxiv.org/abs/1406.2661         |

|2.      |     Eric Jang's Blog on Generative Adversarial Networks   | http://blog.evjang.com/2016/06/generative-adversarial-nets-in.html|

|3.      |     "NIPS 2016 Tutorial: Generative Adversarial Networks" |              https://arxiv.org/abs/1701.00160        |