Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.

A Multimodal Deep Learning Approach for Skin Cancer Classification using ViTs (Visual Transformers)

Implementing federated learning on IoT devices using the CIFAR-10 dataset / CIFAR-10 데이터셋을 활용하여 IoT기기에서의 연합학습을 구현

PCA-Dino and NCA-Dino is development of Dino-ViT

This repository contains the code related to the paper "Stop overkilling simple tasks with black-box models, use more transparent models instead"

DL4CV Final Project: Airbnb listing price prediction using ViT Noam Azmon, Michal Geyer, Tal Sokolov

Improvement upon the architecture from "ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer"

ThermaInsights fork of Meta and WRI canopy height for working with aerial imagery

ViT approach to find the abnormal parts of mammograms, and recalibrate with Explainable AI

Segmentation d'images aériennes par différents réseaux de neurones.

Comparing latent space representations using autoencoders and vision transformers using fMRI data.