Popular GitHub Repositories for Encoder Decoder Architecture

Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.

Code for "ObscureNet: Learning Attribute-invariant Latent Representation for Anonymizing Sensor Data", ACM/IEEE IoTDI 2021

Matlab Variational LSTM Autoencoder and Time Series Prediction for anomaly detection. Some code of my masters thesis. Download Link: https://pure.unileoben.ac.at/portal/files/6093740/AC16131071.pdf

I implement encoder-decoder based seq2seq models with attention using Keras. The encoder can be a Bidirectional LSTM, a simple LSTM, or a GRU, and the decoder can be an LSTM or a GRU. I evaluate the models on an English-French dataset.

Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles

Generate Images from text prompt using Stable Diffusion Model

Deep learning-based subtitle generation model that processes audio datasets to generate accurate text transcriptions. Includes audio feature extraction, encoder-decoder architecture, training pipelines, and evaluation metrics for subtitle alignment.

This is the official repository contains the code, data, and models of the paper titled "Shironaam: Bengali News Headline Generation using Auxiliary Information", accepted for publication in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL’23), May 2-6, 2023.