jlezama / disentangling-jacobian

Related projects ⓘ

Alternatives and complementary repositories for disentangling-jacobian

• ananyahjha93 / cycle-consistent-vae
  This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…
  ☆72Updated 6 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆37Updated 6 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 5 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 4 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 4 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 4 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆92Updated 2 years ago
• ananyahjha93 / disentangling-factors-of-variation-using-adversarial-training
  This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…
  ☆32Updated 6 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• denproc / Taming-VAEs
  ☆26Updated 5 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• ehoogeboom / emerging
  ☆40Updated 5 years ago
• iffsid / disentangling-disentanglement
  ☆89Updated 5 years ago
• adler-j / bwgan
  Code for the paper "Banach Wasserstein GAN"
  ☆31Updated 5 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆59Updated 2 years ago
• andrewliao11 / unrolled-gans
  PyTorch Implementation of Unrolled Generative Adversarial Networks
  ☆39Updated 6 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆38Updated 5 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 4 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆39Updated 5 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 3 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆44Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 5 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 5 years ago
• sagiebenaim / OneShotTranslation
  Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
  ☆139Updated 5 years ago
• yxlao / reverse-gan.pytorch
  Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch
  ☆32Updated 7 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆50Updated 7 years ago
• sagiebenaim / DomainIntersectionDifference
  Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
  ☆39Updated 4 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆53Updated 7 years ago