Alternatives and similar repositories for grammar_variational_autoencoder

Users that are interested in grammar_variational_autoencoder are comparing it to the libraries listed below

• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 8 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 8 years ago
• elanmart / psmm
  ☆48Updated 7 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 8 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 9 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 9 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆45Updated 9 years ago
• diegma / relation-autoencoder
  this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"
  ☆65Updated 8 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 9 years ago
• XingxingZhang / td-treelstm
  Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
  ☆83Updated 9 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• jcatw / scnn
  Implementation of search-convolutional neural networks (SCNNs)
  ☆51Updated 8 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 8 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
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 10 years ago
• danieldjohnson / gated-graph-transformer-network
  Code to accompany the paper "Learning Graphical State Transitions"
  ☆171Updated 8 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• ermongroup / markov-chain-gan
  Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
  ☆78Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• kentonl / ran
  ☆45Updated 8 years ago
• sanghoon / prediction_gan
  PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)
  ☆31Updated 7 years ago
• imatge-upc / danifojo-2018-repeatrnn
  Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
  ☆35Updated 7 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆145Updated 6 years ago
• ganow / keras-information-dropout
  Keras implementation of the Information Dropout (arXiv:1611.01353) paper
  ☆15Updated 9 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 8 years ago
• google / joint_vae
  Code to build VAE models that are jointly conditioned.
  ☆36Updated 8 years ago