RemiLeblond / SeaRNN-open

Related projects ⓘ

Alternatives and complementary repositories for SeaRNN-open

• uralik / beamdream
  ☆28Updated 2 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆39Updated 5 years ago
• elanmart / psmm
  ☆50Updated 6 years ago
• neubig / howtocode-2017
  An example of DyNet autobatching for the NIPS "how to code a paper" workshop
  ☆13Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 7 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• nyu-dl / dl4mt-multi-src
  ☆20Updated 7 years ago
• nyu-dl / dl4dial-bayesian-calibration
  ☆13Updated 5 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• jacobandreas / neuralese
  Translating neuralese
  ☆43Updated 7 years ago
• zxie / vae
  Variational autoencoder in Theano
  ☆12Updated 7 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 8 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 6 years ago
• julianser / hred-latent-piecewise
  ☆20Updated 6 years ago
• jacobandreas / rnn-syn
  Analogs of Linguistic Structure in Deep Representations
  ☆19Updated 7 years ago
• MultiPath / Efficient-Neural-Machine-Translation
  PhD thesis (updating) of Jiatao Gu from HKU
  ☆19Updated 6 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• agadetsky / pytorch-definitions
  [ACL 2018] Conditional Generators of Words Definitions
  ☆33Updated 6 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 5 years ago
• koustuvsinha / clutrr-workshop
  ☆21Updated 5 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 7 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
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 7 years ago
• bdusell / grefenstette-stack-lstm
  DyNet implementation of stack LSTM experiments by Grefenstette et al.
  ☆21Updated 7 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 6 years ago