Alternatives and similar repositories for IndRNN_Theano_Lasagne:

Users that are interested in IndRNN_Theano_Lasagne are comparing it to the libraries listed below

• StefOe / indrnn-pytorch
  pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
  ☆121Updated 6 years ago
• titu1994 / Keras-IndRNN
  Implementation of IndRNN in Keras
  ☆67Updated 4 years ago
• imatge-upc / skiprnn-2017-telecombcn
  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
  ☆121Updated 2 years ago
• hehefan / Recurrent-Attention-Model
  Tensorflow implementation of paper "Recurrent Models of Visual Attention"
  ☆51Updated 7 years ago
• negar-rostamzadeh / LSTM-Attention
  LSTM-Attention
  ☆73Updated 7 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• Sunnydreamrain / IndRNN_pytorch
  Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
  ☆135Updated 4 years ago
• dvatterott / BMM_attentional_CNN
  A CNN with an attentional module that I built while attending the brains minds and machines summer course
  ☆68Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 7 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆30Updated 7 years ago
• iwyoo / ConvLSTMCell-tensorflow
  ConvLSTMCell for TensorFlow
  ☆59Updated 7 years ago
• batzner / indrnn
  TensorFlow implementation of Independently Recurrent Neural Networks
  ☆514Updated 3 years ago
• davidtellez / adda_mnist64
  Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
  ☆32Updated 7 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 7 years ago
• OlavHN / bnlstm
  Batch normalized LSTM for tensorflow
  ☆179Updated 8 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago
• jlindsey15 / RAM
  Recurrent Visual Attention Model
  ☆135Updated 5 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆127Updated 6 years ago
• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆74Updated 4 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• vene / sparse-structured-attention
  Sparse and structured neural attention mechanisms
  ☆222Updated 4 years ago
• nsfinkelstein / hierarchical-rnn
  Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
  ☆135Updated 7 years ago
• TolgaOk / Differentiable-Hard-Attention-Module
  A modified version of Spatial Transformer Networks to attend regions on the input image.
  ☆44Updated 2 years ago
• cedrickchee / capsule-net-pytorch
  [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
  ☆168Updated 5 years ago
• danielhavir / capsule-network
  PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton
  ☆170Updated 6 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• norouzi / hdml
  Hamming Distance Metric Learning with Non-linear Projection
  ☆73Updated 11 years ago
• jayparks / quasi-rnn
  A PyTorch Implementation of "Quasi-Recurrent Neural Networks"
  ☆46Updated 7 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