This repository contains an implementation of the Transformer Encoder-Decoder model from scratch in C++. The objective is to build a sequence-to-sequence model that leverages pre-trained word ...

A Transformer model built from scratch to perform basic arithmetic operations, implementing multi-head attention, feed-forward layers, and layer normalization from the Attention is All You Need paper.

The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.

Apart from the various interesting features of this model, one feature that catches the attention is its decoder-only architecture. In fact, not just PaLM, some of the most popular and widely used ...

Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder–Decoder Network With Invertible Modeling Published in: IEEE Transactions on Artificial Intelligence ( Volume: 5 , ...