Ksuryateja / DCGAN-CIFAR10-pytorch
A DCGAN built on the CIFAR10 dataset using pytorch
☆27Updated 5 years ago
Alternatives and similar repositories for DCGAN-CIFAR10-pytorch:
Users that are interested in DCGAN-CIFAR10-pytorch are comparing it to the libraries listed below
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆185Updated 2 weeks ago
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆47Updated 6 years ago
- ☆272Updated 6 years ago
- DCGAN LSGAN WGAN-GP DRAGAN PyTorch☆193Updated 3 years ago
- Improved Techniques for Training GANs for cifar10 dataset☆19Updated last year
- This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.☆70Updated 6 years ago
- Defense GAN in pytorch☆13Updated 5 years ago
- PyTorch Implementation of InfoGAN☆320Updated 2 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆69Updated 7 years ago
- this is the pytorch version of Conditional Generative Adversarial Nets☆56Updated 6 years ago
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Updated 6 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆264Updated 4 years ago
- Contains implementation of denoising algorithms.☆11Updated 4 years ago
- AutoEncoder trained on ImageNet☆99Updated 2 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Reproduction of cw attack on pytorch with corresponding MNIST model☆22Updated 4 years ago
- Inception Score for GANs in Pytorch☆648Updated 4 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆505Updated 7 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- Implementation of Conditional Generative Adversarial Networks in PyTorch☆107Updated 6 years ago
- Pytorch implementation for MagNet: a Two-Pronged Defense against Adversarial Examples☆15Updated 5 years ago
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 6 years ago
- Evolutionary Generative Adversarial Networks (E-GAN)☆76Updated 5 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆36Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆55Updated 5 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆162Updated 4 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆67Updated 6 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆46Updated last year
- Pytorch for Triple-GAN☆42Updated 2 years ago