Alternatives and similar repositories for gan-pytorch

Users that are interested in gan-pytorch are comparing it to the libraries listed below

• bhpfelix / Variational-Autoencoder-PyTorch
  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
  ☆171Updated 8 years ago
• ChunyuanLI / MNIST_Inception_Score
  Training a MNIST classifier, and use it to compute inception score (ICP)
  ☆25Updated 8 years ago
• 9310gaurav / ali-pytorch
  PyTorch implementation of Adversarially Learned Inference (BiGAN).
  ☆80Updated 7 years ago
• MadryLab / robust_representations
  Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
  ☆164Updated 5 years ago
• pkmr06 / pytorch-smoothgrad
  SmoothGrad implementation in PyTorch
  ☆172Updated 4 years ago
• tsc2017 / Inception-Score
  CPU/GPU/TPU implementation of the Inception Score
  ☆79Updated 5 years ago
• ksharsha / CifarVAE
  Variational Auto Encoder
  ☆37Updated 8 years ago
• MadryLab / robustness_applications
  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
  ☆129Updated 6 years ago
• mahyarkoy / dmgan_release
  Disconnected Manifold Learning for Generative Adversarial Networks.
  ☆13Updated 7 years ago
• ajiljalal / manifold-defense
  ☆21Updated last year
• zzzace2000 / FIDO-saliency
  Explaining Image Classifiers by Counterfactual Generation
  ☆28Updated 3 years ago
• akanimax / Variational_Discriminator_Bottleneck
  Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…
  ☆152Updated 7 years ago
• csinva / gan-vae-pretrained-pytorch
  Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
  ☆206Updated 11 months ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• vikramnitin9 / adversarial-learning-literature
  ☆37Updated 5 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆117Updated 7 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆86Updated 6 years ago
• chrischute / papers
  Papers for Summer 2018
  ☆35Updated 7 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• chenjie / PyTorch-CIFAR-10-autoencoder
  This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.
  ☆74Updated 7 years ago
• ruthcfong / perturb_explanations
  Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"
  ☆31Updated 6 years ago
• aniket03 / pirl_pytorch
  Implementation of Pre-text invariant representation learning algorithm in pytorch
  ☆11Updated 5 years ago
• yulongwang12 / visual-attribution
  Pytorch Implementation of recent visual attribution methods for model interpretability
  ☆146Updated 5 years ago
• osu-xai / pytorch-saliency
  Pytorch plugin to generate saliency maps for neural networks
  ☆12Updated 7 years ago
• iamaaditya / pixel-deflection
  Deflecting Adversarial Attacks with Pixel Deflection
  ☆71Updated 7 years ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆59Updated 6 years ago
• joeylitalien / celeba-gan-pytorch
  Generative Adversarial Networks in PyTorch
  ☆36Updated 7 years ago
• yogeshbalaji / Meta-Learning-Domain-Generalization
  ☆29Updated 7 years ago
• dtak / adversarial-robustness-public
  Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…
  ☆55Updated 3 years ago