attention-seq2seq

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

Neural Machine Translation with Keras

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Gathers Tensorflow deep learning models.

Attention-based end-to-end ASR on TIMIT in PyTorch

Text Summarizer implemented in PyTorch

Generates summary of a given news article. Used attention seq2seq encoder decoder model.

A T5-based Seq2Seq Model that Generates Titles for Machine Learning Papers using the Abstract

An Image Caption Generation based search

Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.

Convolution Sequence to Sequence models for Hand Written Text Recognition

Used Tensorflow and Keras Framework

Basic seq2seq model including simplest encoder & decoder and attention-based ones

Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020

Tensorflow2.0 implementation of neural machine translation with Bahdanau attention

A simple attention deep learning model to answer questions about a given video with the most relevant video intervals as answers.

Generating short length description of news articles