Alternatives and similar repositories for PresGANs

Users that are interested in PresGANs are comparing it to the libraries listed below

• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆116Updated 3 years ago
• cwkx / GON
  Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
  ☆161Updated 4 years ago
• AlexiaJM / AdversarialConsistentScoreMatching
  Code for paper "Adversarial score matching and improved sampling for image generation"
  ☆123Updated 2 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 5 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago
• unixpickle / vq-vae-2
  A PyTorch implementation of the VQ-VAE-2 paper
  ☆75Updated 6 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆190Updated 6 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆94Updated 4 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated 2 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• daib13 / TwoStageVAE
  ☆237Updated 6 years ago
• larsmaaloee / BIVA
  BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling
  ☆29Updated 5 years ago
• CompVis / iin
  A Disentangling Invertible Interpretation Network
  ☆123Updated 4 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 4 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 4 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆128Updated last year
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• ShangyuanTong / PairGAN
  ☆22Updated 5 years ago
• giannisdaras / ylg
  [CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".
  ☆137Updated 2 years ago
• dalmia / siren
  PyTorch implementation of Sinusodial Representation networks (SIREN)
  ☆263Updated 2 years ago
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 5 years ago
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 4 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• ermongroup / flow-gan
  Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.
  ☆110Updated 7 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆348Updated 4 years ago