vision-transformer-from-scratch and Tiny-ViT-Transformer-from-scratch

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About vision-transformer-from-scratch

tintn/vision-transformer-from-scratch

A Simplified PyTorch Implementation of Vision Transformer (ViT)

This project provides a clear and straightforward example of how a Vision Transformer (ViT) model is constructed and trained for image classification. It takes image datasets as input and outputs a trained model capable of classifying images into predefined categories. This is ideal for machine learning researchers or students who want to understand the inner workings of ViT models.

deep-learning-education computer-vision-research image-classification-learning transformer-models academic-code-examples

About Tiny-ViT-Transformer-from-scratch

benisalla/Tiny-ViT-Transformer-from-scratch

This repository offers a straightforward implementation of Vision Transformers (ViT), specifically designed for computer vision tasks using PyTorch. Dive into efficient and practical transformer applications for image recognition.

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