Alternatives and similar repositories for grammar_variational_autoencoder:

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

• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 7 years ago
• tdozat / Optimization
  ☆24Updated 8 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• imatge-upc / danifojo-2018-repeatrnn
  Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
  ☆35Updated 6 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 8 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 years ago
• Hanjun-Dai / sdvae
  code for Syntax-Directed Variational Autoencoder that generates programs and molecues
  ☆79Updated 6 years ago
• ankitkv / TextGAN
  Improving text generation with adversarial objectives
  Updated 8 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 7 years ago
• TheShadow29 / infnet-spen
  TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
  ☆30Updated 6 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 7 years ago
• AndreasMadsen / course-02456-sparsemax
  TensorFlow and Numpy implementation of sparsemax
  ☆16Updated 5 years ago
• kefirski / contiguous-succotash
  Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
  ☆71Updated 3 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 6 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆58Updated 3 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 8 years ago
• google / joint_vae
  Code to build VAE models that are jointly conditioned.
  ☆36Updated 7 years ago
• jcatw / scnn
  Implementation of search-convolutional neural networks (SCNNs)
  ☆51Updated 7 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 8 years ago
• XingxingZhang / td-treelstm
  Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
  ☆83Updated 8 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 8 years ago
• elanmart / psmm
  ☆49Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆46Updated 7 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• jaak-s / nips2014-survey
  Survey of hyperparameter optimization use in NIPS2014
  ☆12Updated 9 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago