Minimal, clean example of lstm neural network training in python, for learning purposes.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
#计算机科学#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
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
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
stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
LSTM implementation on Caffe
LSTM-Attention
Named Entity Recognition (LSTM + CRF) - Tensorflow
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),.....
Best (most accurate) trained LSTM models.