Alternatives and similar repositories for Semi-supervised-VAE

Users that are interested in Semi-supervised-VAE are comparing it to the libraries listed below

• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆215Updated 5 years ago
• slim1017 / VaDE
  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
  ☆309Updated 7 years ago
• RuiShu / vae-clustering
  Unsupervised clustering with (Gaussian mixture) VAEs
  ☆301Updated 8 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 8 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆107Updated 9 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
• fducau / AAE_pytorch
  ☆201Updated 8 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• mmcdermott / CWR-GAN
  The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
  ☆23Updated 7 years ago
• prasoongoyal / bnp-vae
  ☆11Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 8 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆211Updated 7 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated 2 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 6 years ago
• GuHY777 / SS-VAE-pytorch
  The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
  ☆18Updated 6 years ago
• 1Konny / WAE-pytorch
  ☆66Updated 6 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 8 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 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
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆127Updated 5 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 2 years ago
• XifengGuo / IDEC
  ☆165Updated 8 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆236Updated 7 years ago
• emreaksan / stcn
  STCN: Stochastic Temporal Convolutional Networks
  ☆69Updated 5 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 8 years ago
• nitarshan / variational-autoencoder
  PyTorch implementation of "Auto-Encoding Variational Bayes"
  ☆42Updated 8 years ago
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆26Updated 7 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 7 years ago
• chaoshangcs / VIGAN
  PyTorch implementation of VIGAN
  ☆40Updated 8 years ago