Alternatives and similar repositories for vae-clustering

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

• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆213Updated 5 years ago
• psanch21 / VAE-GMVAE
  This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
  ☆210Updated 5 years ago
• slim1017 / VaDE
  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
  ☆304Updated 7 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆228Updated 7 years ago
• ShengjiaZhao / MMD-Variational-Autoencoder
  ☆109Updated 7 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆232Updated 6 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 7 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆508Updated 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
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• fducau / AAE_pytorch
  ☆200Updated 8 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 8 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆210Updated 7 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆370Updated 5 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 2 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆515Updated 10 years ago
• shaohua0116 / VAE-Tensorflow
  A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
  ☆130Updated 5 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆707Updated 5 years ago
• emited / VariationalRecurrentNeuralNetwork
  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
  ☆285Updated 3 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆175Updated 7 years ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆241Updated 2 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago