Alternatives and similar repositories for Nested-LSTM-NLSTM-Pytorch

Users that are interested in Nested-LSTM-NLSTM-Pytorch are comparing it to the libraries listed below

• gitabcworld / skiprnn_pytorch
  A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"
  ☆83Updated 7 years ago
• limbo018 / FRU
  ☆40Updated 7 years ago
• hongweizeng / cnn-seq2seq
  ☆38Updated 8 years ago
• monk1337 / Various-Attention-mechanisms
  This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…
  ☆127Updated 4 years ago
• jihunchoi / sequential-denoising-autoencoder-tf
  ☆11Updated 7 years ago
• dalinvip / pytorch_SRU
  SRU implement in pytorch（Training RNNs as Fast as CNNs）
  ☆50Updated 3 years ago
• yangperasd / gated_cnn
  Keras implementation of “Gated Linear Unit ”
  ☆23Updated last year
• taoshen58 / BiBloSA
  Bi-Directional Block Self-Attention
  ☆122Updated 7 years ago
• kefirski / pytorch_Highway
  Highway network implemented in pytorch
  ☆80Updated 8 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆61Updated 7 years ago
• nadavbh12 / Character-Level-Language-Modeling-with-Deeper-Self-Attention-pytorch
  Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch
  ☆62Updated 7 years ago
• wead-hsu / ssvae
  codes for Variational Autoencoder for Semi-supervised Text Classification
  ☆40Updated 7 years ago
• wang-h / pynmt
  a simple and complete pytorch implementation of neural machine translation system
  ☆13Updated 6 years ago
• LittleChenCc / Meta_LSTM
  The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
  ☆33Updated 7 years ago
• seba-1511 / lstms.pth
  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
  ☆137Updated 4 years ago
• google-deepmind / lamb
  LAnguage Modelling Benchmarks
  ☆138Updated 5 years ago
• jayparks / quasi-rnn
  A PyTorch Implementation of "Quasi-Recurrent Neural Networks"
  ☆46Updated 8 years ago
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆134Updated 6 years ago
• jojonki / Gated-Convolutional-Networks
  A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.
  ☆103Updated 4 years ago
• matthewmackay / reversible-rnn
  Code for reversible recurrent neural networks
  ☆40Updated 6 years ago
• AuCson / PyTorch-Batch-Attention-Seq2seq
  PyTorch implementation of batched bi-RNN encoder and attention-decoder.
  ☆281Updated 6 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆75Updated 7 years ago
• bplank / semi-supervised-baselines
  Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)
  ☆61Updated 3 years ago
• ryokamoi / dcnn_textvae
  TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"
  ☆54Updated 6 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆211Updated 6 years ago
• baaesh / DiSAN-pytorch
  DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
  ☆26Updated 7 years ago
• tommykwh / TensorFlow-Seq2Seq
  Implement en-fr translation task by implenting seq2seq, encoder-decoder in RNN layers with Attention mechanism and Beamsearch inference d…
  ☆21Updated 7 years ago
• guillaume-chevalier / Linear-Attention-Recurrent-Neural-Network
  A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…
  ☆146Updated 7 years ago
• wang-h / Variational-NMT
  Variational Neural Machine Translation System
  ☆37Updated 7 years ago
• yunjey / seq2seq-dataloader
  PyTorch DataLoader for seq2seq
  ☆85Updated 6 years ago