머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트

This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)

Improved WGAN in Pytorch

Conditional GAN, Wasserstein distance and Gradient Penalty in tensorflow

Wasserstein GAN(-GP) implemented with PyTorch and Chainer

Reimplementation of GANs

Major GANs are implemented in this repository 🔥

UCLANesl - NIST Differential Privacy Challenge (Match 3)

Generated digits (Similar to the ones in the MNIST dataset) using Wasserstein GANs.

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Applying Dual averaging method to Saddle point problem in GAN

Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.

Wasserstein GAN with gradient penalty (WGAN-GP) implemented in Chainer v3.0.0.