Alternatives and similar repositories for vae-seq

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

• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆232Updated 6 years ago
• ShengjiaZhao / MMD-Variational-Autoencoder
  ☆110Updated 8 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆106Updated 6 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆199Updated 7 years ago
• RuiShu / vae-clustering
  Unsupervised clustering with (Gaussian mixture) VAEs
  ☆301Updated 8 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆216Updated 7 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
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆204Updated 2 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆90Updated 8 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆214Updated 5 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• phreeza / tensorflow-vrnn
  A variational recurrent neural network implementation in tensorflow
  ☆104Updated 7 years ago
• shaohua0116 / VAE-Tensorflow
  A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
  ☆131Updated 6 years ago
• emited / VariationalRecurrentNeuralNetwork
  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
  ☆288Updated 3 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆244Updated 7 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• harvardnlp / sa-vae
  ☆152Updated 7 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆107Updated 9 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆208Updated 7 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
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆137Updated 6 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆233Updated 7 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 4 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 8 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆94Updated 2 years ago
• tigvarts / vaeac
  Variational Autoencoder with Arbitrary Conditioning
  ☆81Updated 2 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 8 years ago