Alternatives and similar repositories for Variational-Autoencoder:

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

• y0ast / VAE-Torch
  Implementation of Variational Auto-Encoder in Torch7
  ☆266Updated 8 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆514Updated 10 years ago
• IshmaelBelghazi / ALI
  Adversarially Learned Inference
  ☆311Updated 6 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆209Updated 8 years ago
• mikesj-public / convolutional_autoencoder
  Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
  ☆169Updated 7 years ago
• musyoku / adversarial-autoencoder
  Chainer implementation of adversarial autoencoder (AAE)
  ☆257Updated 7 years ago
• ikostrikov / TensorFlow-VAE-GAN-DRAW
  A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational A…
  ☆596Updated 8 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆206Updated 9 years ago
• shekkizh / WassersteinGAN.tensorflow
  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
  ☆418Updated 8 years ago
• Kaixhin / Autoencoders
  Torch implementations of various types of autoencoders
  ☆470Updated 7 years ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 8 years ago
• jych / nips2015_vrnn
  ☆292Updated 7 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆253Updated 6 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• CuriousAI / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
  ☆517Updated 7 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆208Updated 8 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
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 9 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆287Updated 6 years ago
• ericjang / genadv_tutorial
  TensorFlow tutorial on Generative Adversarial Models
  ☆256Updated 6 years ago
• carpedm20 / pixel-rnn-tensorflow
  in progress
  ☆495Updated 5 years ago
• Cospel / rbm-ae-tf
  Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
  ☆83Updated 4 years ago
• ofirnachum / sequence_gan
  Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
  ☆394Updated 7 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 7 years ago
• buriburisuri / ebgan
  A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.
  ☆210Updated 8 years ago
• EderSantana / seya
  Bringing up some extra Cosmo to Keras.
  ☆378Updated 8 years ago
• ryankiros / layer-norm
  Code and models from the paper "Layer Normalization"
  ☆247Updated 8 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆154Updated 2 years ago
• OlavHN / bnlstm
  Batch normalized LSTM for tensorflow
  ☆179Updated 8 years ago