Wasserstein GAN with gradient penalty (WGAN-GP) implemented in Chainer v3.0.0.
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Updated
Jan 3, 2018 - Python
Wasserstein GAN with gradient penalty (WGAN-GP) implemented in Chainer v3.0.0.
Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.
Applying Dual averaging method to Saddle point problem in GAN
Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
Generated digits (Similar to the ones in the MNIST dataset) using Wasserstein GANs.
UCLANesl - NIST Differential Privacy Challenge (Match 3)
Major GANs are implemented in this repository 🔥
Wasserstein GAN(-GP) implemented with PyTorch and Chainer
Conditional GAN, Wasserstein distance and Gradient Penalty in tensorflow
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트
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