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Infogan Implementation

Infogan with 3 different models

  • wgan_gp(gradient_penalty)
  • wgan(weight clipping)
  • gan

Requirement

tensorflow==1.2.1 matplotlib==2.0.2

Files

  1. main.py - infoGAN train
  2. ops.py - basic operations based on tensorflow
  3. utils.py - basic operations not based on tensorflow
  4. nets.py - 3 basic nets of infoGAN(generator, discriminator, classifier)
  5. config.py - basic configuration for main.py

Run

python main.py

dataset

MNIST

About

wgan + infoGAN on MNIST

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  • Python 86.7%
  • Jupyter Notebook 13.3%