Alternatives and similar repositories for g2-lstm:

Users that are interested in g2-lstm are comparing it to the libraries listed below

• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 5 years ago
• taoshen58 / BiBloSA
  Bi-Directional Block Self-Attention
  ☆123Updated 6 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆40Updated 6 years ago
• rosinality / adaptive-softmax-pytorch
  Adaptive Softmax implementation for PyTorch
  ☆80Updated 5 years ago
• gitabcworld / skiprnn_pytorch
  A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"
  ☆80Updated 6 years ago
• stanfordmlgroup / nlm-noising
  ☆74Updated 7 years ago
• kondiz / fraternal-dropout
  ☆63Updated 7 years ago
• vene / sparse-structured-attention
  Sparse and structured neural attention mechanisms
  ☆222Updated 4 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆62Updated 4 years ago
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆45Updated 5 years ago
• hongweizeng / cnn-seq2seq
  ☆38Updated 7 years ago
• desire2020 / CoT
  (Beta Version!) Experiment Code for Paper ``CoT: Cooperative Training for Generative Modeling of Discrete Data''
  ☆73Updated 5 years ago
• kefirski / contiguous-succotash
  Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
  ☆71Updated 3 years ago
• L0SG / relational-rnn-pytorch
  An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
  ☆245Updated 6 years ago
• sebastianruder / sluice-networks
  Code for Sluice networks: Learning what to share between loosely related tasks
  ☆151Updated 6 years ago
• harvardnlp / var-attn
  Latent Alignment and Variational Attention
  ☆327Updated 6 years ago
• bzhangGo / transformer-aan
  souce code for "Accelerating Neural Transformer via an Average Attention Network"
  ☆78Updated 5 years ago
• imatge-upc / skiprnn-2017-telecombcn
  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
  ☆121Updated last year
• dandelin / Dynamic-memory-networks-plus-Pytorch
  Implementation of Dynamic memory networks plus in Pytorch
  ☆125Updated 7 years ago
• microsoft / DualLearning
  A dual learning toolkit developed by Microsoft Research
  ☆71Updated last year
• nmhkahn / MemN2N-pytorch
  Implementation of End-to-End Memory Network in PyTorch
  ☆105Updated 7 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 5 years ago
• UKPLab / emnlp2018-activation-functions
  ☆26Updated 5 years ago
• schelotto / Neural_Speed_Reading_via_Skim-RNN_PyTorch
  PyTorch implementation of "Neural Speed Reading via Skim-RNN"
  ☆17Updated 2 years ago
• jojonki / Gated-Convolutional-Networks
  A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.
  ☆99Updated 3 years ago
• pclucas14 / GansFallingShort
  Code for "Language GANs Falling Short"
  ☆59Updated 3 years ago
• DevSinghSachan / Attention_is_All_You_Need
  ☆42Updated 6 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 2 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆55Updated 6 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆86Updated last year