This repository implements the the encoder and decoder model with attention model for OCR, the encoder uses CNN+Bi-LSTM, the decoder uses GRU.

We study a streamable attention-based encoder-decoder model in which either the decoder, or both the encoder and decoder, operate on pre-defined, fixed-size windows called chunks. A special ...

The attention-based encoder-decoder (AED) speech recognition model has been widely successful in recent years. However, the joint optimization of acoustic model and language model in end-to-end manner ...

To generate each part of translation, the attention mechanism tells a Neural Machine Translation model where it should pay attention to. A simple encoder-decoder model without the attention mechanism ...

Many computational methods have been proposed to predict drug–drug interactions (DDIs), which can occur when combining drugs to treat various diseases, but most mainly utilize single-source features ...

Although encoder-decoder networks with attention have achieved impressive results in many sequence-to-sequence tasks, the mechanisms behind such networks’ generation of appropriate attention matrices ...