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
  ☆134Updated 8 years ago
• skaae / vaeblog
  ☆78Updated 10 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
• Enny1991 / PLSTM
  ☆138Updated 8 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 10 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆60Updated 4 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆107Updated 7 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆30Updated 9 years ago
• jych / cle
  ☆89Updated 9 years ago
• EmilienDupont / vae-concrete
  Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
  ☆51Updated 8 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆30Updated 9 years ago
• takerum / adversarial_autoencoder
  Implementation of Adversarial Autoencoder with Theano
  ☆40Updated 9 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆208Updated 9 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆109Updated 9 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 9 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆210Updated 9 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 7 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆270Updated 6 years ago
• vdumoulin / discgen
  Code for the "Discriminative Regularization for Generative Models" paper.
  ☆73Updated 9 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆58Updated 8 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• jiamings / fast-weights
  Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
  ☆172Updated 9 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 5 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 9 years ago