Minimal, clean example of lstm neural network training in python, for learning purposes.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
翻译 - NER任务的Tensorflow解决方案将BiLSTM-CRF模型与Google BERT微调和私有服务器服务结合使用
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
翻译 - 使用Keras Python软件包构建的LSTM可预测时间序列的步骤和序列。包括罪恶浪潮和股市数据
LSTM and QRNN Language Model Toolkit for PyTorch
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Implementation of Convolutional LSTM in PyTorch.
Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
Phased LSTM
detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)
bidirectional lstm
LSTM+CRF NER
LSTM implementation on Caffe
LSTM-CRF in PyTorch
Named Entity Recognition (LSTM + CRF) - Tensorflow
LSTM-Attention
cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....
Tree LSTM implementation in PyTorch
stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
Best (most accurate) trained LSTM models.
Train Tesseract LSTM with make