luong-attention

This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras

Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions.

Tensorflow 2.0 tutorials for RNN based architectures for textual problems

My current project about building chatbot with deep neural networks. This repo show my chatbot code for deployment purpose

Seq2Seq model implemented with pytorch, using Bahdanau Attention and Luong Attention.

This repository contains TensorFlow/Keras models for implementing an Encoder-Decoder architecture for sequence-to-sequence tasks. It includes components such as Encoder, Decoder, Embedding Layer, LSTM Layer, Attention Mechanism, and more.

Sequence 2 Sequence with Attention Mechanisms in Tensorflow v2

Successfully established a text summarization model using Seq2Seq modeling with Luong Attention, which can give a short and concise summary of the global news headlines.

Viet2Eng xây dựng hệ thống dịch máy Việt-Anh từ đầu bằng Seq2Seq với RNN, GRU, LSTM, Bahdanau/Luong Attention, BPE và Beam Search. Repo bao gồm quy trình dữ liệu, huấn luyện và suy luận bằng PyTorch, cùng kết quả thực nghiệm trên IWSLT 2015 để hỗ trợ tái lập và khảo sát các thành phần mô hình.

Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.

The modelling pipeline aims to replicate the translation forum conducted in the imperial courts and the likes of which were rigorously formalised since the times of Dao’an 道安. As described in scholarly texts like translation of T 1543 Abhidharma-jñānaprasthāna-śāstra in 383 AD in Chang’an 長安.