# GANotebooks

**Repository Path**: jfttpt/GANotebooks

## Basic Information

- **Project Name**: GANotebooks
- **Description**: wgan, wgan2(improved, gp), infogan, and dcgan implementation in  lasagne, keras, pytorch
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-09-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Generative Adversarial Notebooks
## Collection of my Generative Adversarial Network implementations

Most codes are for python3, most notebooks works on 

### CycleGAN
* CycleGAN-lasagne
* CycleGAN-keras

### CycleGAN results
<img src="img/cyclegan_58_11603.png" height=300 /> 
Result after 3 hours and 58 epochs on a GTX 1080. From top to bottom: Input, Fake, Recreate of the input.

<img src="img/cyclegan_face.png" height=300 /> 
Face-off result. From top to bottom: Input, Fake, Recreate of the input.
[youtube video](https://www.youtube.com/watch?v=Fea4kZq0oFQ)

### pix2pix
* pix2pix-keras: pix2pix GAN Keras implementation
* pix2pix-lasagne: pix2pix GAN Lasagne implementation
* pix2pix-torch: pix2pix GAN pytorch implementation

### pix2pix sample results
<img src="img/pix2pix.png" height="200" />
Validation result of edges-to-shoes after 12 epochs. From top to bottom: Input, Ground truth, the result.
<img src="img/pix2pix_resnet.png" height="200" />
Validation result of  facades dataset after 150 epochs using resnet. From top to bottom: Input, Ground truth, the result.


### WGAN on CIFAR10
* wgan-keras: Wasserstein GAN  Keras implementation
* wgan-lasagne: Wasserstein GAN Lasagne implementation
* wgan-torch: Wasserstein GAN pytorch implementation based on https://github.com/martinarjovsky/WassersteinGAN

### WGAN2 (improved WGAN/WGAN-gp)
* wgan2-lasagne:  improved WGAN Lasagne implementation (on CIFAR10)
* wgan2-keras: improved WGAN Keras implementation (on CIFAR10)
* wgan2-lasagne-anime: WGAN on anime face images, lasagne 
* wgan2-AC-lasagne:  improved WGAN Lasagne implementation with Auxillary classfier
### WGAN2 sample results
* cifar10 dataset

<img src="img/wgan2-cifar10.png" height="100" />

* cifar10 dataset with Auxillary classfier

<img src="img/wgan2-ac-cifar10.png" height="400" />


* anime face dataset

<img src="img/wgan2-anime.png" height="500" />




### InfoGAN 
* mnist-infogan: InfoGAN Lasagne on MNIST dataset
* mnist-infogan-paper-uniform: InfoGAN Lasagne on MNIST dataset (fllowing the paper implementation)
### InfoGAN sample results
<img src="img/infogan-mnist.png" height="300" />


### DCGAN
* dcgan-lasagne: DCGAN in Lasagne
### DCGAN sample results
<img src="img/dcgan-cifar10.png" height="300" />