Alternatives and similar repositories for vaeac

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

• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago
• riannevdberg / sylvester-flows
  ☆180Updated 5 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆166Updated 4 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆122Updated 2 years ago
• yoonholee / pytorch-vae
  A minimal pytorch implementation of VAE, IWAE, MIWAE
  ☆47Updated 2 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆28Updated 7 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated last year
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆83Updated 6 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆228Updated 7 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆124Updated 3 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆178Updated 3 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 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
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆81Updated 5 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆117Updated 6 years ago
• daib13 / TwoStageVAE
  ☆237Updated 6 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆138Updated 4 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• MokkeMeguru / glow-realnvp-tutorial
  Glow and RealNVP with tensorflow 2.0 and tensorflow probability
  ☆31Updated 2 years ago
• soobinseo / Attentive-Neural-Process
  A Pytorch Implementation of Attentive Neural Process
  ☆73Updated 6 years ago
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆39Updated 8 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• harvardnlp / TextFlow
  ☆120Updated 5 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆212Updated 9 months ago