Alternatives and similar repositories for dirichlet-vae

Users that are interested in dirichlet-vae are comparing it to the libraries listed below

• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆129Updated 2 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 8 years ago
• alexlyzhov / latent-subspaces
  Implementation of "Learning latent subspaces in variational autoencoders"
  ☆20Updated 5 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 8 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 3 years ago
• tigvarts / vaeac
  Variational Autoencoder with Arbitrary Conditioning
  ☆81Updated 2 years ago
• wellecks / vaes
  Variational Autoencoders & Normalizing Flows Project
  ☆18Updated 8 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆180Updated 5 years ago
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆38Updated 8 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆65Updated 4 years ago
• shmpanski / t-vae
  Transformer Variational Autoencoder experiment
  ☆50Updated 6 years ago
• sophieburkhardt / dirichlet-vae-topic-models
  implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
  ☆49Updated 2 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆86Updated 6 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆30Updated 7 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 9 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆177Updated 7 years ago
• paruby / Wasserstein-Auto-Encoders
  Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
  ☆37Updated 7 years ago
• dimkal89 / rvae
  ☆37Updated 5 years ago
• ShengjiaZhao / MMD-Variational-Autoencoder
  ☆110Updated 8 years ago
• ashwindcruz / dgm
  Deep Generative Models (Chainer)
  ☆10Updated 8 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆233Updated 7 years ago
• harvardnlp / TextFlow
  ☆121Updated 5 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆85Updated 2 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago