Alternatives and similar repositories for conditional-GAN

Users that are interested in conditional-GAN are comparing it to the libraries listed below

• asarigun / TransGAN
  This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.
  ☆113Updated last year
• chendaichao / VAE-pytorch
  Pytorch implementation for VAE and conditional VAE.
  ☆36Updated 4 years ago
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆47Updated 3 years ago
• wilile26811249 / ViTGAN
  A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.
  ☆173Updated 3 years ago
• franknb / Self-attention-DCGAN
  An application of Self-Attention GANs and DCGAN on mnist dataset.
  ☆49Updated 4 years ago
• joeloskarsson / CGAN-regression
  Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"
  ☆36Updated 2 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• rosinality / denoising-diffusion-pytorch
  Implementation of Denoising Diffusion Probabilistic Models in PyTorch
  ☆380Updated 2 years ago
• Lornatang / GAN-PyTorch
  A complete implementation of the Pytorch neural network framework for GAN
  ☆24Updated 3 years ago
• pietroastolfi / suave-daino
  Code release for "Semi-supervised learning made simple with self-supervised clustering"
  ☆57Updated last year
• tcapelle / Diffusion-Models-pytorch
  Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
  ☆413Updated 2 years ago
• Lornatang / conditional_gan
  Simple implementation of conditional general adverse nets in pytorch machine learning framework
  ☆56Updated last month
• TakaraResearch / Pytorch-1D-Wasserstein-Statistical-Loss
  1D Wasserstein Statistical Loss in Pytorch
  ☆28Updated 4 years ago
• AntonP999 / Sparse_autoencoder
  PyTorch implementation of sparse autoencoder.
  ☆39Updated 5 years ago
• UBCDingXin / improved_CcGAN
  Continuous Conditional Generative Adversarial Networks (CcGAN)
  ☆132Updated last year
• GH920 / improved-bagan-gp
  Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
  ☆37Updated 3 years ago
• ariG23498 / mae-scalable-vision-learners
  A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
  ☆79Updated 3 years ago
• jiamings / d2c
  PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
  ☆125Updated 3 years ago
• mlpc-ucsd / ViTGAN
  ☆56Updated 2 years ago
• catalys1 / mae-pytorch
  Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
  ☆43Updated last year
• tqch / v-diffusion-torch
  PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
  ☆32Updated last year
• pranjaldatta / Denoising-Autoencoder-in-Pytorch
  A Pytorch Implementation of a denoising autoencoder.
  ☆44Updated 5 years ago
• SashaMalysheva / Pytorch-VAE
  This is an implementation of the VAE (Variational Autoencoder) for Cifar10
  ☆72Updated 3 years ago
• julianstastny / VAE-ResNet18-PyTorch
  A Variational Autoencoder based on the ResNet18-architecture
  ☆120Updated 6 years ago
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆130Updated 9 months ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆77Updated 3 years ago
• arturml / pytorch-wgan-gp
  A pytorch implementation of WGAN-GP
  ☆23Updated 6 years ago
• shlokk / mae-contrastive
  Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
  ☆32Updated 2 years ago
• jumpsnack / ViT-NeT
  ☆38Updated 2 years ago
• cosmic-cortex / pytorch-hooks-tutorial
  A crash course on PyTorch hooks
  ☆40Updated 5 years ago