Alternatives and similar repositories for lstm-attention

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

• ningshixian / LSTM_Attention
  attention-based LSTM/Dense implemented by Keras
  ☆299Updated 7 years ago
• slaysd / pytorch-sentiment-analysis-classification
  A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
  ☆313Updated 2 years ago
• CyberZHG / keras-multi-head
  A wrapper layer for stacking layers horizontally
  ☆228Updated 3 years ago
• flrngel / TCN-with-attention
  Character based Temporal Convolutional Networks + Attention Layer
  ☆168Updated 7 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 7 years ago
• ivanlen / time_series_classification_and_ensembles
  some examples for time series classification using keras: #1D_CNN #LSTM #Dense #Ensembles
  ☆27Updated 5 years ago
• hrshtv / Twitter-Sentiment-Analysis
  BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.
  ☆27Updated 4 years ago
• monk1337 / Various-Attention-mechanisms
  This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…
  ☆126Updated 3 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆91Updated 4 years ago
• AlexGidiotis / Document-Classifier-LSTM
  A bidirectional LSTM with attention for multiclass/multilabel text classification.
  ☆173Updated 9 months ago
• xiaobaicxy / text-classification-BiLSTM-Attention-pytorch
  文本分类， 双向lstm + attention 算法
  ☆90Updated 4 years ago
• edchengg / PTB-pytorch-LSTM-attention
  PTB Language Modelling task with LSTM + Attention layer
  ☆31Updated 7 years ago
• ajbrookhouse / SelfAttention
  This repository houses my implementation of a Self-Attention layer in Keras to be used for multivariate time series machine learning prob…
  ☆10Updated 4 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆42Updated 6 years ago
• nn116003 / self-attention-classification
  document classification using LSTM + self attention
  ☆112Updated 5 years ago
• zhangbincheng1997 / detect-lstm-model
  detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)
  ☆59Updated 6 years ago
• uzaymacar / attention-mechanisms
  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with Ten…
  ☆359Updated last year
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆109Updated 5 years ago
• susantiyuni / attention-bilstm-for-relation-classification
  (minimal implementation) BiLSTM-Attention for Relation Classification
  ☆30Updated 5 months ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆173Updated 7 months ago
• kaka-lin / stock-price-predict
  Implementation of seq2seq with attention in keras
  ☆114Updated 5 years ago
• pengshuang / CNN-Seq2Seq
  A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
  ☆46Updated 6 years ago
• fuqiuai / TensorFlow-Deep-Learning
  用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型
  ☆59Updated 6 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated 11 months ago
• betulays / sentiment_analysis_deep_models
  LSTM, CNN, CNNLSTM, BiLSTM, MLP
  ☆10Updated 7 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆111Updated 11 months ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 6 years ago
• AFAgarap / gru-svm
  [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
  ☆165Updated 2 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago