jackyjsy / ACWGAN
An implementation of ACGAN with adversarial loss and training algorithm from Improved WGAN.
☆9Updated 5 years ago
Related projects: ⓘ
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆45Updated 5 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆36Updated 4 years ago
- Pytorch for Triple-GAN☆41Updated last year
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆174Updated 3 years ago
- Improved Techniques for Training GANs for cifar10 dataset☆18Updated last year
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆62Updated 2 years ago
- Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10☆37Updated 4 years ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆41Updated 2 years ago
- Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)☆35Updated 4 years ago
- this is the pytorch version of Conditional Generative Adversarial Nets☆54Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation for Pytorch☆32Updated 4 years ago
- Data Augmentation optimized for GAN☆56Updated 3 years ago
- This repository contains PyTorch implementation of MD-GAN, along with training iPython notebook and trained models. Currently, this repos…☆17Updated 4 years ago
- LSA : Layer Sustainability Analysis framework for the analysis of layer vulnerability in a given neural network. LSA can be a helpful too…☆15Updated 2 years ago
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆50Updated 6 years ago
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 6 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆64Updated 5 years ago
- IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.☆119Updated 3 years ago
- ☆14Updated this week
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆48Updated 4 years ago
- DCGAN LSGAN WGAN-GP DRAGAN PyTorch☆195Updated 2 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 5 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆67Updated 7 years ago
- DSN/Tensorflow☆18Updated 6 years ago
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆62Updated 5 years ago
- Conditional Wasserstein GANs☆71Updated 6 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆83Updated last year
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- AutoEncoder trained on ImageNet☆89Updated last year
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆52Updated 4 years ago