This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
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Updated
Jul 30, 2023 - Python
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.
Major GANs are implemented in this repository 🔥
Wasserstein GAN with gradient penalty (WGAN-GP) implemented in Chainer v3.0.0.
Conditional GAN, Wasserstein distance and Gradient Penalty in tensorflow
Generated digits (Similar to the ones in the MNIST dataset) using Wasserstein GANs.
Applying Dual averaging method to Saddle point problem in GAN
Wasserstein GAN(-GP) implemented with PyTorch and Chainer
머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트
Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
UCLANesl - NIST Differential Privacy Challenge (Match 3)
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