mingukkang / CVAE

Related projects: ⓘ

• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 5 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆147Updated 5 years ago
• SeongokRyu / my-study-materials
  ☆13Updated 4 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆90Updated 3 years ago
• lim0606 / pytorch-geometric-gan
  Code accompanying the paper "Geometric GAN"
  ☆57Updated 7 years ago
• podgorskiy / VAE
  Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
  ☆67Updated 5 years ago
• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 5 years ago
• angusturner / generative_models
  Generative Modelling Experiments
  ☆39Updated 4 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆54Updated 5 years ago
• sw-gong / MoNet
  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
  ☆54Updated 4 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆40Updated 3 years ago
• cbokpark / Pytorch-Latent-Constraints-Learning-to-Generate-Conditionally-from-Unconditional-Generative-Models
  Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models implemented by pytorch
  ☆12Updated 6 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆88Updated 5 years ago
• shmpanski / t-vae
  Transformer Variational Autoencoder experiment
  ☆49Updated 5 years ago
• F-Bekerman / Graph-VAE
  ☆39Updated 7 years ago
• dragen1860 / pytorch-mnist-vae
  Pytorch Implementation of variational auto-encoder for MNIST
  ☆60Updated 5 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 6 years ago
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 4 years ago
• neel-dey / equivariant-gans
  [ICLR 2021] Group Equivariant Generative Adversarial Networks.
  ☆13Updated 3 years ago
• tbepler / spatial-VAE
  Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
  ☆63Updated 4 years ago
• matthew-liu / beta-vae
  A Pytorch Implementation of the Beta-VAE
  ☆40Updated 5 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆71Updated 5 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆87Updated 3 years ago
• giannisnik / som
  Pytorch implementation of a Self-Organizing Map
  ☆88Updated 5 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆78Updated last year
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆115Updated 5 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 5 years ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆68Updated last year
• AlexiaJM / AdversarialConsistentScoreMatching
  Code for paper "Adversarial score matching and improved sampling for image generation"
  ☆122Updated last year
• iffsid / disentangling-disentanglement
  ☆89Updated 5 years ago