jackyjsy / ACWGANLinks
An implementation of ACGAN with adversarial loss and training algorithm from Improved WGAN.
☆9Updated 6 years ago
Alternatives and similar repositories for ACWGAN
Users that are interested in ACWGAN are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆46Updated 6 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆38Updated 5 years ago
- Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10☆38Updated 5 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆72Updated 3 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆194Updated 4 months ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 3 years ago
- Pytorch for Triple-GAN☆42Updated 2 years ago
- Improved Techniques for Training GANs for cifar10 dataset☆20Updated 2 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆150Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- AutoEncoder trained on ImageNet☆110Updated 2 years ago
- IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.☆125Updated 4 years ago
- DWGAN&WGAN for cifar10 (only car images)☆8Updated 4 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆66Updated 4 years ago
- ☆274Updated 7 years ago
- Data Augmentation optimized for GAN☆56Updated 4 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- Pytorch Implementation of APE-GAN☆15Updated 7 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆68Updated 6 years ago
- [ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier☆28Updated 2 years ago
- A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"☆49Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Updated 6 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆70Updated 7 years ago
- Reproduction of cw attack on pytorch with corresponding MNIST model☆22Updated 4 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆57Updated 5 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation for Pytorch☆32Updated 5 years ago
- [CVPR 2023] The official Pytorch implementation of Re-GAN☆16Updated last year
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Updated 6 years ago