Alternatives and similar repositories for vae-tf

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

• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆132Updated 7 years ago
• skaae / vaeblog
  ☆78Updated 9 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆29Updated 9 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆60Updated 4 years ago
• Enny1991 / PLSTM
  ☆137Updated 7 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆207Updated 9 years ago
• takerum / adversarial_autoencoder
  Implementation of Adversarial Autoencoder with Theano
  ☆40Updated 8 years ago
• EmilienDupont / vae-concrete
  Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
  ☆51Updated 7 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆208Updated 8 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• igul222 / PixelVAE
  Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
  ☆93Updated 7 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• jych / cle
  ☆89Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆317Updated 9 years ago
• igul222 / pixel_rnn
  Working Theano implementation of Pixel RNN on MNIST.
  ☆76Updated 8 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago