GitHub

arnavmishra4/Transformer-Attention-Is-All-You-Need-From-Scratch-in-PyTorch

This repository contains a complete from-scratch implementation of the Transformer model (Vaswani et al., 2017). It recreates the full Encoder–Decoder pipeline including attention, positional encoding ...
IEEE

A Study on Modeling Roman Numeral Analysis Progressions Using the Encoder-Decoder Transformer

Abstract: This paper evaluates the efficacy and usage of a proposed model built on the encoder-decoder Transformer for the purposes of modeling harmonic progressions rooted in the Western tonality ...
GitHub

Encoder-only models -BERT DistilBERT RoBERTa , Decoder-only models: GPT GPT-2 ,Encoder-decoder models or sequence-to-sequence models-BART T5

Notifications You must be signed in to change notification settings Fine-tuning Transformer Models Using PEFT (Parameter-Efficient Fine-Tuning) Techniques This notebook is part of a broader study on ...
IEEE

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...