Alternatives and similar repositories for Variational-Autoencoders

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

• gabinsane / multimodal-vae-comparison
  Code for comparison of multimodal VAE models
  ☆29Updated last month
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆68Updated 6 years ago
• mori97 / VaDE
  A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)
  ☆39Updated 4 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆84Updated 6 years ago
• mhw32 / multimodal-vae-public
  A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
  ☆159Updated 6 years ago
• unnir / cVAE
  Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch
  ☆106Updated last year
• ry85 / VAE-GAN
  Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆43Updated 5 years ago
• fwt-team / DSVAE
  Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch
  ☆12Updated 3 years ago
• is0383kk / Pytorch_VAE-GMM
  Implementation of a model to make VAE and GMM train from each other
  ☆26Updated 3 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆101Updated 4 years ago
• hui-po-wang / Pytorch-VAE-GAN
  Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric
  ☆29Updated 7 years ago
• thomassutter / MoPoE
  Code release for ICLR 2021 paper "Generalised Multimodal ELBO"
  ☆40Updated 2 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆101Updated 6 years ago
• nerdslab / PyHiWA
  Alignment between clustered datasets via hierarchical Wasserstein distance
  ☆38Updated last year
• 51616 / split-vae
  Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.
  ☆19Updated 2 years ago
• analytique-bourassa / VAE-Classifier
  Variational Autoencoder and Classifier hybrid
  ☆29Updated 5 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆47Updated 5 years ago
• kasparmartens / c-GPLVM
  PyTorch implementation of the Covariate-GPLVM
  ☆26Updated 5 years ago
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆133Updated 11 months ago
• ucals / cvae
  ☆72Updated 2 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆43Updated this week
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 2 years ago
• jariasf / GMVAE
  Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
  ☆341Updated 4 years ago
• rishabhd786 / VAE-GAN-PYTORCH
  Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
  ☆63Updated 5 years ago
• AliLotfi92 / InfoMaxVAE
  InfoMax-VAE pytorch implementation
  ☆23Updated 11 months ago
• kimmo1019 / Roundtrip
  Roundtrip: density estimation with deep generative neural networks
  ☆62Updated last year
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago