Ksuryateja / DCGAN-CIFAR10-pytorch
A DCGAN built on the CIFAR10 dataset using pytorch
☆28Updated 5 years ago
Related projects: ⓘ
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆174Updated 3 years ago
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆45Updated 5 years ago
- PyTorch Implementation of InfoGAN☆322Updated last year
- DCGAN LSGAN WGAN-GP DRAGAN PyTorch☆195Updated 2 years ago
- ☆264Updated 6 years ago
- AutoEncoder trained on ImageNet☆89Updated last year
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 6 years ago
- Improved Techniques for Training GANs for cifar10 dataset☆18Updated last year
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆62Updated 5 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆83Updated last year
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆62Updated 2 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆45Updated last year
- An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework.☆15Updated 6 years ago
- This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.☆70Updated 5 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆36Updated 4 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆483Updated 7 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆63Updated 5 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆169Updated last year
- Pytorch for Triple-GAN☆41Updated last year
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆64Updated 5 years ago
- CelebA HQ Face Identity and Attributes Recognition using PyTorch☆30Updated 10 months ago
- this is the pytorch version of Conditional Generative Adversarial Nets☆54Updated 6 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆143Updated 3 years ago
- Inception Score for GANs in Pytorch☆633Updated 4 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆67Updated 7 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- Implementation of Conditional Generative Adversarial Networks in PyTorch☆106Updated 6 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆90Updated 2 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆136Updated 4 years ago
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆36Updated 4 years ago