Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Many-to-one sliding window LSTM implementation in Pytorch

biLSTM model with the attention mechanism. Example of prediction/inferencing included.

A univariate LSTM model to predict IBEX 35 index stock market returns

Quickly move files from a folder and subfolders to a single target

A simple many-to-one string generating Bidirectional LSTM using pytorch

This project describes how to perform all the Relationships in Django

Sending massage to multi recepients with typing ease of Text-Expander