Alternatives and similar repositories for quasi-rnn:

Users that are interested in quasi-rnn are comparing it to the libraries listed below

• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 7 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 7 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆30Updated 7 years ago
• yufengm / Deep-Learning-Notes
  Notes for Deep Learning Papers
  ☆19Updated 6 years ago
• gan3sh500 / revrnn
  Reversible Recurrent Neural Network Pytorch Implementation
  ☆21Updated 7 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• louishenrifranc / attention
  Attention is All You Need in Sonnet
  ☆38Updated 7 years ago
• talolard / DenseContinuousSentances
  An aspiring attempt to generate a continuous space of sentences with DenseNet
  ☆26Updated 8 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• santi-pdp / quasi-rnn
  Quasi-RNN for language modeling
  ☆57Updated 8 years ago
• bzcheeseman / pytorch-rwa
  RWA in pytorch
  ☆14Updated 7 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• singlasahil14 / orthogonal-convolution
  Github repo for my experiments with the orthogonal convolution idea
  ☆22Updated 7 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• Zeta36 / random-memory-adaptation
  Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
  ☆24Updated 7 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆40Updated 6 years ago
• kondiz / fraternal-dropout
  ☆63Updated 7 years ago
• TheShadow29 / infnet-spen
  TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
  ☆30Updated 6 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• gokceneraslan / SparseMax.torch
  Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"
  ☆53Updated 8 years ago
• soskek / convolutional_seq2seq
  fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
  ☆67Updated 7 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• vsitzmann / snli-attention-tensorflow
  Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.
  ☆23Updated 8 years ago
• elanmart / psmm
  ☆49Updated 7 years ago
• pravarmahajan / cnn-encoder-nmt
  ☆44Updated 7 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 7 years ago