Alternatives and similar repositories for Variational-Recurrent-Autoencoder

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

• jych / cle
  ☆89Updated 8 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 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
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆95Updated 7 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago
• phreeza / tensorflow-vrnn
  A variational recurrent neural network implementation in tensorflow
  ☆103Updated 7 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆132Updated 7 years ago
• craffel / nntools
  Fork of https://github.com/Lasagne/Lasagne
  ☆63Updated 9 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 9 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆208Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• mila-iqia / blocks-extras
  A collection of extensions to the Blocks framework
  ☆27Updated 8 years ago
• jbornschein / bihm
  Bidirectional Helmholtz Machines
  ☆40Updated 9 years ago
• igul222 / pixel_rnn
  Working Theano implementation of Pixel RNN on MNIST.
  ☆76Updated 8 years ago
• ifp-uiuc / an-analysis-of-unsupervised-pre-training-iclr-2015
  Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…
  ☆18Updated 9 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆207Updated 9 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆29Updated 9 years ago
• pascanur / trainingRNNs
  ☆86Updated 11 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• kentonl / ran
  ☆45Updated 7 years ago
• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆38Updated 9 years ago