Alternatives and similar repositories for rbm-ae-tf:

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

• OlavHN / bnlstm
  Batch normalized LSTM for tensorflow
  ☆179Updated 8 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆154Updated 2 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆209Updated 7 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆115Updated 2 years ago
• nsfinkelstein / hierarchical-rnn
  Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
  ☆135Updated 7 years ago
• pbhatia243 / tf-layer-norm
  TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
  ☆111Updated 8 years ago
• phvu / grid-lstm-tensorflow
  Examples of using GridLSTM (and GridRNN in general) in tensorflow
  ☆63Updated 7 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 6 years ago
• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆68Updated 7 years ago
• jcklie / keras-autoencoder
  Collection of autoencoders written in Keras
  ☆37Updated 8 years ago
• y0ast / Variational-Autoencoder
  Implementation of a Variational Auto-Encoder in Theano
  ☆378Updated 7 years ago
• snf / keras-fractalnet
  FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
  ☆155Updated 7 years ago
• bobchennan / Wasserstein-GAN-Keras
  Keras implementation of Wasserstein GAN. Modified from the ACGAN example.
  ☆39Updated 8 years ago
• philipperemy / tensorflow-maxout
  Maxout Networks TensorFlow implementation presented in https://arxiv.org/abs/1302.4389
  ☆56Updated 6 years ago
• Chung-I / Variational-Recurrent-Autoencoder-Tensorflow
  A tensorflow implementation of "Generating Sentences from a Continuous Space"
  ☆227Updated last year
• imatge-upc / skiprnn-2017-telecombcn
  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
  ☆121Updated last year
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 7 years ago
• iwyoo / ConvLSTMCell-tensorflow
  ConvLSTMCell for TensorFlow
  ☆59Updated 7 years ago
• ckmarkoh / GAN-tensorflow
  Implement Generative Adversarial Nets by Tensorflow
  ☆99Updated 7 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago
• code-terminator / DilatedRNN
  Tensorflow implementation for DilatedRNN
  ☆346Updated 7 years ago
• philipperemy / tensorflow-phased-lstm
  Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
  ☆128Updated 6 years ago
• anayebi / keras-extra
  Extra Layers for Keras to connect CNN with RNN
  ☆154Updated 8 years ago
• xunhuang1995 / SGAN
  Stacked Generative Adversarial Networks
  ☆243Updated 7 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆194Updated 7 years ago
• mikesj-public / convolutional_autoencoder
  Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
  ☆169Updated 7 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 7 years ago
• musyoku / adversarial-autoencoder
  Chainer implementation of adversarial autoencoder (AAE)
  ☆256Updated 6 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 7 years ago