Alternatives and similar repositories for disentangling-jacobian

Users that are interested in disentangling-jacobian are comparing it to the libraries listed below

• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆84Updated 6 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• 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
  ☆39Updated 7 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• yookoon / VLAE
  Code for Variational Laplace Autoencoders
  ☆54Updated 2 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 7 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• rdevon / cortex
  A machine learning library for PyTorch
  ☆93Updated 3 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆105Updated 3 years ago
• rothk / Stabilizing_GANs
  Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"
  ☆94Updated 7 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• christiancosgrove / pytorch-sagan
  Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…
  ☆39Updated 7 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆94Updated 4 years ago
• maga33 / DSGAN
  Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
  ☆98Updated 3 years ago
• ermongroup / flow-gan
  Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.
  ☆109Updated 7 years ago
• ShangyuanTong / PairGAN
  ☆22Updated 5 years ago
• corenel / pytorch-glow
  PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
  ☆45Updated 7 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆66Updated 5 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• andrewliao11 / unrolled-gans
  PyTorch Implementation of Unrolled Generative Adversarial Networks
  ☆40Updated 7 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆117Updated 6 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 7 years ago