Alternatives and similar repositories for Keras-IndRNN

Users that are interested in Keras-IndRNN 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 / Nested-LSTM
  Keras implementation of Nested LSTMs
  ☆88Updated 6 years ago
• theSage21 / IndRNN
  PyTorch implementation of IndRNN
  ☆15Updated 6 years ago
• Sunnydreamrain / IndRNN_Theano_Lasagne
  This code is to implement the IndRNN.
  ☆69Updated 6 years ago
• asap-report / lstm-visualisation
  ☆65Updated 2 years ago
• CyberZHG / keras-layer-normalization
  Layer normalization implemented in Keras
  ☆60Updated 3 years ago
• titu1994 / keras-SRU
  Implementation of Simple Recurrent Unit in Keras
  ☆90Updated 7 years ago
• iwyoo / ConvLSTMCell-tensorflow
  ConvLSTMCell for TensorFlow
  ☆59Updated 7 years ago
• arthurdouillard / keras-snapshot_ensembles
  Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)
  ☆26Updated 6 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆129Updated 7 years ago
• ceshine / tensorflow-crash-course
  For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
  ☆47Updated 6 years ago
• Sunnydreamrain / IndRNN_pytorch
  Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
  ☆137Updated 4 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆30Updated 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…
  ☆145Updated 6 years ago
• zimmerrol / keras-utility-layer-collection
  Collection of custom layers and utility functions for Keras which are missing in the main framework.
  ☆62Updated 5 years ago
• titu1994 / keras-padam
  Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"
  ☆17Updated 6 years ago
• dalinvip / pytorch_SRU
  SRU implement in pytorch（Training RNNs as Fast as CNNs）
  ☆47Updated 2 years ago
• mwv / zca
  ZCA whitening in python
  ☆32Updated 5 years ago
• stefbraun / rnn_benchmarks
  RNN benchmarks of pytorch, tensorflow and theano
  ☆89Updated 6 years ago
• CyberZHG / keras-adaptive-softmax
  Adaptive embedding and softmax
  ☆17Updated 3 years ago
• soskek / convolutional_seq2seq
  fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
  ☆67Updated 8 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
• ascourge21 / Siamese
  A Keras implementation of Siamese neural net
  ☆39Updated 7 years ago
• contentinnovation / NeurIPS-2018-papers
  Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…
  ☆71Updated 6 years ago
• OlavHN / bnlstm
  Batch normalized LSTM for tensorflow
  ☆179Updated 8 years ago
• yangperasd / gated_cnn
  Keras implementation of “Gated Linear Unit ”
  ☆23Updated last year
• titu1994 / keras-attention-augmented-convs
  Keras implementation of Attention Augmented Convolutional Neural Networks
  ☆121Updated 5 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 6 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆212Updated 6 years ago
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆80Updated 7 years ago