Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

• UpdatedJul 25, 2024
• Jupyter Notebook

all kinds of baseline models for long text classificaiton( text categorization)

• UpdatedFeb 20, 2019
• Python

This is the implementation for the paper: Sequential Recommender System based on Hierarchical Attention Network

• UpdatedMar 13, 2021
• Python

Repository of state of the art text/documentation classification algorithms in Pytorch.

• UpdatedFeb 15, 2019
• Jupyter Notebook

Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.

• UpdatedJun 6, 2024
• Jupyter Notebook

Notebooks for running and visualizing results using trained models for linguistic complexity.

• UpdatedFeb 6, 2019
• Python

Paper code for Pruning and Sparsemax Methods for Hierarchical Attention Networks

• UpdatedJan 12, 2020
• Python

Text Classification Lib on Keras

• UpdatedMar 2, 2019
• Python

THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.

• UpdatedDec 6, 2018
• Jupyter Notebook

I implemented 3HAN(Hierarchical Attention Network)for fake news detection in pytorch. The same model can be modified and trained for different text classification tasks.

• UpdatedJul 30, 2024
• Python

Implementation of a Hierarchical Attention Network (HAN) in PyTorch

• UpdatedJul 23, 2020
• Python

Tensorflow implementation of attention mechanism for text classification tasks.

• UpdatedDec 20, 2019
• Python

Project files for pattern recognition group assignment (team 22) @ Utrecht University.

• UpdatedJan 27, 2020
• Python

• UpdatedMar 26, 2019
• Python