Alternatives and similar repositories for LanguageModel-using-Attention

Users that are interested in LanguageModel-using-Attention are comparing it to the libraries listed below

• AuCson / PyTorch-Batch-Attention-Seq2seq
  PyTorch implementation of batched bi-RNN encoder and attention-decoder.
  ☆281Updated 6 years ago
• keishinkickback / Pytorch-RNN-text-classification
  Word Embedding + LSTM + FC
  ☆161Updated last year
• monk1337 / Various-Attention-mechanisms
  This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…
  ☆126Updated 4 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• pandeykartikey / Hierarchical-Attention-Network
  Implementation of Hierarchical Attention Networks in PyTorch
  ☆129Updated 6 years ago
• mttk / rnn-classifier
  Minimal RNN classifier with self-attention in Pytorch
  ☆151Updated 3 years ago
• Kyushik / Attention
  Repository for Attention Algorithm
  ☆41Updated 7 years ago
• StefOe / indrnn-pytorch
  pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
  ☆121Updated 6 years ago
• kaushalshetty / Structured-Self-Attention
  A Structured Self-attentive Sentence Embedding
  ☆494Updated 6 years ago
• jiangqy / LSTM-Classification-pytorch
  Text classification based on LSTM on R8 dataset for pytorch implementation
  ☆141Updated 8 years ago
• claravania / lstm-pytorch
  LSTM Classification using Pytorch
  ☆77Updated 6 years ago
• clairett / pytorch-sentiment-classification
  LSTM and CNN sentiment analysis
  ☆169Updated 7 years ago
• DSE-MSU / R-transformer
  Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
  ☆230Updated 6 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 7 years ago
• edchengg / PTB-pytorch-LSTM-attention
  PTB Language Modelling task with LSTM + Attention layer
  ☆31Updated 7 years ago
• emadRad / lstm-gru-pytorch
  LSTM and GRU in PyTorch
  ☆263Updated 6 years ago
• leviswind / pytorch-transformer
  pytorch implementation of Attention is all you need
  ☆239Updated 4 years ago
• ZiJianZhao / SeqGAN-PyTorch
  A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.
  ☆264Updated 6 years ago
• bojone / infomax
  extract features by maximizing mutual information
  ☆148Updated 5 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• zaidalyafeai / AttentioNN
  All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
  ☆232Updated 5 years ago
• XifengGuo / CapsNet-Pytorch
  Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`
  ☆159Updated 7 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆80Updated 3 years ago
• jojonki / AutoEncoders
  AE, VAE, and CVAE in PyTorch
  ☆67Updated 6 years ago
• pengshuang / CNN-Seq2Seq
  A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
  ☆45Updated 6 years ago
• Cheneng / HiararchicalAttentionGRU
  Hierarchical Attention Networks for Document Classification in PyTorch
  ☆36Updated 6 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆327Updated 7 years ago
• QData / LaMP
  ECML 2019: Graph Neural Networks for Multi-Label Classification
  ☆90Updated last year
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆80Updated 7 years ago
• keon / seq2seq
  Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
  ☆703Updated 4 years ago