Alternatives and similar repositories for bnlstm-pytorch

Users that are interested in bnlstm-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"
  ☆81Updated 6 years ago
• seba-1511 / lstms.pth
  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
  ☆136Updated 4 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆58Updated 6 years ago
• StefOe / indrnn-pytorch
  pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
  ☆121Updated 6 years ago
• h-jia / batch_normalized_LSTM
  Implementation of batch normalization LSTM in pytorch.
  ☆12Updated 5 years ago
• emreaksan / stcn
  STCN: Stochastic Temporal Convolutional Networks
  ☆69Updated 4 years ago
• laiguokun / SWaveNet
  ☆24Updated 5 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• HanqingLu / MultiscaleRNN
  This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…
  ☆51Updated 7 years ago
• Sunnydreamrain / IndRNN_pytorch
  Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
  ☆136Updated 4 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆212Updated 5 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 9 years ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆99Updated 3 years ago
• shayangharib / AUDASC
  Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
  ☆35Updated 6 years ago
• v0lta / Complex-gated-recurrent-neural-networks
  Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…
  ☆50Updated 3 years ago
• gogyzzz / prognet_emorecog
  A Pytorch implementation of 'Progressive Neural Networks for Transfer Learning in Emotion Recognition'
  ☆11Updated 6 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• wnhsu / FactorizedHierarchicalVAE
  This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…
  ☆155Updated 7 years ago
• sagelywizard / snail
  A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper
  ☆98Updated 7 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 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…
  ☆145Updated 6 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆160Updated 5 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.
  ☆133Updated 5 years ago
• dalinvip / pytorch_SRU
  SRU implement in pytorch（Training RNNs as Fast as CNNs）
  ☆46Updated 2 years ago
• abduallahmohamed / Nested-LSTM-NLSTM-Pytorch
  NLSTM Nested LSTM in Pytorch
  ☆17Updated 7 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• younggyoseo / rnn-auxiliary-loss
  Learning Longer-term Dependencies in RNNs with Auxiliary Losses - Implementation in PyTorch.
  ☆16Updated 6 years ago
• yandexdataschool / gumbel_lstm
  Experiments with binary LSTM using gumbel-sigmoid
  ☆30Updated 5 years ago