Alternatives and similar repositories for ff-attention

Users that are interested in ff-attention are comparing it to the libraries listed below

• santi-pdp / quasi-rnn
  Quasi-RNN for language modeling
  ☆57Updated 8 years ago
• soskek / convolutional_seq2seq
  fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
  ☆67Updated 8 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• ofirpress / UsingTheOutputEmbedding
  Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf
  ☆46Updated 7 years ago
• chahuja / lru
  Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling
  ☆36Updated 7 years ago
• Diego999 / SelfSent
  Implementation in Tensorflow of A Structured Self-attentive Sentence Embedding with the sentiment analysis task.
  ☆66Updated 8 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 8 years ago
• deeplearningparis / dl-attention
  Attention models
  ☆32Updated 9 years ago
• xiayandi / Pytorch_text_classification
  A simple implementation of CNN based text classification in Pytorch
  ☆66Updated 8 years ago
• tam17aki / zoneout-tensorflow
  An implementation of zoneout regularizer on LSTM-RNN by Tensorflow
  ☆24Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• XingxingZhang / td-treelstm
  Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
  ☆83Updated 8 years ago
• ryankiros / multimodal-neural-language-models
  A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)
  ☆57Updated 8 years ago
• kentonl / ran
  ☆45Updated 8 years ago
• jekbradbury / examples
  ☆79Updated 8 years ago
• bastings / nn4nlp2017-code-pytorch
  Code Samples from Neural Networks for NLP
  ☆72Updated 8 years ago
• icoxfog417 / tying-wv-and-wc
  Implementation for "Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling"
  ☆38Updated 8 years ago
• 2014mchidamb / TorchGlove
  PyTorch implementation of Global Vectors for Word Representation.
  ☆92Updated 7 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• kondiz / fraternal-dropout
  ☆63Updated 7 years ago
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆39Updated 10 years ago
• shashankg7 / Seq2Seq
  Library to train parallel-aligned sequence data based on Keras
  ☆51Updated 8 years ago
• neubig / yrsnlp-2016
  Structured Neural Networks for NLP: From Idea to Code
  ☆59Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 9 years ago
• JonathanRaiman / tensorflow_qrnn
  Quasi-Recurrent Neural Network (QRNN) for Tensorflow
  ☆23Updated 6 years ago
• fukuta0614 / chainer-SeqGAN
  implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
  ☆33Updated 8 years ago
• LopezGG / Sequence-Labelling
  Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras
  ☆71Updated 8 years ago