Alternatives and similar repositories for Disentangled-Variational-Autoencoder:

Users that are interested in Disentangled-Variational-Autoencoder are comparing it to the libraries listed below

• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆136Updated 2 years ago
• dariocazzani / pytorch-AE
  Autoencoders in PyTorch
  ☆92Updated 2 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• chendaichao / VAE-pytorch
  Pytorch implementation for VAE and conditional VAE.
  ☆35Updated 4 years ago
• julian-carpenter / beta-TCVAE
  Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).
  ☆16Updated 5 years ago
• shivakanthsujit / VAE-PyTorch
  Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
  ☆32Updated last year
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 2 years ago
• williamFalcon / pytorch-lightning-vae
  VAE for color images
  ☆210Updated 3 years ago
• unnir / cVAE
  Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch
  ☆97Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆128Updated 2 years ago
• TinyVolt / normalizing-flows
  Implementation of normalizing flows from 1d to Nd
  ☆33Updated 4 years ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• EmoryMLIP / DeepGenerativeModelingIntro
  PyTorch Code used in 'Introduction to Deep Generative Modeling'
  ☆52Updated 4 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆56Updated 6 years ago
• rishabhd786 / VAE-GAN-PYTORCH
  Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
  ☆61Updated 4 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆38Updated last year
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated 2 years ago
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆126Updated 8 months ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated last month
• french-paragon / BayesianNeuralNetwork-Tutorial-Metarepos
  A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…
  ☆127Updated 3 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆64Updated 6 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 7 months ago
• french-paragon / BayesianMnist
  A hello world Bayesian Neural Network project on MNIST
  ☆43Updated 3 years ago
• debtanu177 / CVAE_MNIST
  Conditional VAE using CNN on MNIST in PyTorch
  ☆19Updated 4 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• TyXe-BDL / TyXe
  ☆152Updated 2 years ago
• matthew-liu / beta-vae
  A Pytorch Implementation of the Beta-VAE
  ☆43Updated 5 years ago
• syorami / Autoencoders-Variants
  Pytorch implementations of various types of autoencoders
  ☆66Updated 6 years ago