Awesome

WGAN-GP

An pytorch implementation of Paper "Improved Training of Wasserstein GANs".

Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU

A latest master version of Pytorch

gan_toy.py : Toy datasets (8 Gaussians, 25 Gaussians, Swiss Roll).(Finished in 2017.5.8)
gan_language.py : Character-level language model (Discriminator is using nn.Conv1d. Generator is using nn.Conv1d. Finished in 2017.6.23. Finished in 2017.6.27.)
gan_mnist.py : MNIST (Running Results while Finished in 2017.6.26. Discriminator is using nn.Conv1d. Generator is using nn.Conv1d.)
gan_64x64.py: 64x64 architectures(Looking forward to your pull request)
gan_cifar.py: CIFAR-10(Great thanks to robotcator)

Toy Dataset

Some Sample Result, you can refer to the results/toy/ folder for details.
- 8gaussians 154500 iteration
- 25gaussians 48500 iteration
- swissroll 69400 iteration
Mnist Dataset

Some Sample Result, you can refer to the results/mnist/ folder for details.
Billion Word Language Generation (Using CNN, character-level)

Some Sample Result after 8699 epochs which is detailed in sample

I haven't run enough epochs due to that this is very time-comsuming.

He moved the mat all out clame t

A fosts of shores forreuid he pe

It whith Crouchy digcloued defor

Pamreutol the rered in Car inson

Nor op to the lecs ficomens o fe

In is a " nored by of the ot can

The onteon I dees this pirder ,

It is Brobes aoracy of " medurn

Rame he reaariod to thim atreast

The stinl who herth of the not t

The witl is f ont UAy Y nalence

It a over , tose sho Leloch Cumm
Cifar10 Dataset

Some Sample Result, you can refer to the results/cifar10/ folder for details.