Alternatives and similar repositories for indrnn-pytorch:

Users that are interested in indrnn-pytorch are comparing it to the libraries listed below

• Sunnydreamrain / IndRNN_pytorch
  Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
  ☆135Updated 4 years ago
• Sunnydreamrain / IndRNN_Theano_Lasagne
  This code is to implement the IndRNN.
  ☆69Updated 5 years ago
• seba-1511 / lstms.pth
  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
  ☆136Updated 3 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
• titu1994 / Keras-IndRNN
  Implementation of IndRNN in Keras
  ☆67Updated 4 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆212Updated 5 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• imatge-upc / skiprnn-2017-telecombcn
  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
  ☆121Updated 2 years ago
• emreaksan / stcn
  STCN: Stochastic Temporal Convolutional Networks
  ☆69Updated 4 years ago
• bojone / gan-qp
  GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint
  ☆119Updated 5 years ago
• vene / sparse-structured-attention
  Sparse and structured neural attention mechanisms
  ☆222Updated 4 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…
  ☆144Updated 6 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• L0SG / relational-rnn-pytorch
  An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
  ☆245Updated 6 years ago
• theSage21 / IndRNN
  PyTorch implementation of IndRNN
  ☆15Updated 6 years ago
• locuslab / trellisnet
  [ICLR'19] Trellis Networks for Sequence Modeling
  ☆472Updated 5 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆30Updated 7 years ago
• AuCson / PyTorch-Batch-Attention-Seq2seq
  PyTorch implementation of batched bi-RNN encoder and attention-decoder.
  ☆279Updated 6 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆128Updated 7 years ago
• DingKe / pytorch_workplace
  Random miniprojects with pytorch.
  ☆171Updated 6 years ago
• code-terminator / DilatedRNN
  Tensorflow implementation for DilatedRNN
  ☆347Updated 7 years ago
• nakosung / VQ-VAE
  VQ-VAE implementation / pytorch
  ☆180Updated 7 years ago
• harvardnlp / var-attn
  Latent Alignment and Variational Attention
  ☆327Updated 6 years ago
• jojonki / Gated-Convolutional-Networks
  A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.
  ☆99Updated 3 years ago
• lvapeab / ABiViRNet
  Attention Bidirectional Video Recurrent Net
  ☆56Updated 6 years ago
• batzner / indrnn
  TensorFlow implementation of Independently Recurrent Neural Networks
  ☆514Updated 3 years ago
• hehefan / Recurrent-Attention-Model
  Tensorflow implementation of paper "Recurrent Models of Visual Attention"
  ☆51Updated 7 years ago
• tunz / tcop-pytorch
  tunz's CUDA pytorch operator (MaskedSoftmax)
  ☆75Updated 6 years ago
• laiguokun / SWaveNet
  ☆24Updated 4 years ago
• dalinvip / pytorch_SRU
  SRU implement in pytorch（Training RNNs as Fast as CNNs）
  ☆46Updated 2 years ago