Alternatives and similar repositories for Keras-Multiplicative-LSTM

Users that are interested in Keras-Multiplicative-LSTM are comparing it to the libraries listed below

• artemvang / lstm_gan
  Implementation of LSTM GAN for twitter posts generating.
  ☆30Updated 8 years ago
• titu1994 / Nested-LSTM
  Keras implementation of Nested LSTMs
  ☆88Updated 6 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 4 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• zygmuntz / pointer-networks-experiments
  Sorting numbers with pointer networks
  ☆55Updated 7 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 7 years ago
• anargyri / lstm_han
  LSTM and Hierarchical Attention Network on DSVM
  ☆41Updated 7 years ago
• chaitjo / lstm-context-embeddings
  Augmenting word embeddings with their surrounding context using bidirectional RNN
  ☆60Updated 5 years ago
• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆69Updated 8 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• bzcheeseman / pytorch-rwa
  RWA in pytorch
  ☆14Updated 8 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• fducau / infoVAE
  ☆16Updated 7 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
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• SigmaQuan / NTM-Keras
  An attempt at replicating "Neural Turing Machines" in Keras.
  ☆34Updated 8 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 8 years ago
• titu1994 / Keras-IndRNN
  Implementation of IndRNN in Keras
  ☆67Updated 5 years ago
• apsarath / CorrNet
  ☆51Updated 9 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 7 years ago
• tomrunia / ClockworkRNN
  Clockwork RNN in TensorFlow
  ☆61Updated 7 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago
• despoisj / ConvolutionalAutoencoder
  Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow
  ☆53Updated 3 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆76Updated 3 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 2 years ago
• shashankg7 / Seq2Seq
  Library to train parallel-aligned sequence data based on Keras
  ☆51Updated 8 years ago
• craffel / ff-attention
  Experiments using feedforward networks with attention
  ☆46Updated 9 years ago