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ocr, cnn+lstm+ctc, crnn, recognition model, tensorflow

PyTorch implementation of BiLSTM-CRF and Bi-LSTM-CNN-CRF models for named entity recognition.

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

LSTM and GRU model to predict the SOH of the batteries

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

LSTM sequence modeling of video data

Blood glucose prediction using long short-term memory recurrent neural networks.

Example Recurrent Neural Networks for Sentiment Analysis (Aspect-Based) on SemEval 2014

biLSTM/CNN based deep learning framework for Question Answer Selection.