A Survey on Transformer in CV.

This repository accompanies our paper Unlocking the Heart Using Adaptive Locked Agnostic Networks and enables replication of the key results.

HydraViT is a PyTorch implementation of the HydraViT model, an adaptive multi-branch transformer for multi-label disease classification from chest X-ray images. The repository provides the necessary code to train and evaluate the HydraViT model on the NIH Chest X-ray dataset.

Multi Modal Task Oriented Dialogue System (MMTOD)

An easy and minimal implementation of the Visual Transformer (ViT) in PyTorch, from scratch!

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

Comparison of various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

The repository contains supplementary material to my Master's thesis - Fine-grained Visual Recognition with Side Information

A solid foundational understanding of XAI, primarily emphasizing how XAI methodologies can expose latent biases in datasets and reveal valuable insights.

Energy Theft Detection using ImageTransformation, DNN, TCN, Transformer, ViT

Using Visual Transformers to train a basic image classification model to classify images of lions, tigers, cheetahs, tigers and leopards

Methodology used to classify face images based on unknown criteria as part of a datachallenge organised at Telecom Paris

CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 8 (veille technologique seule)

training/eval code for a visual transformers and similarity analysis

A modular Pytorch Implementation of ViTGAN

🤖 Segmentação de faixas de estrada utilizando o Segformer

Using vision transformers to leather defects in leather

Simple implementation of CBIR with a pretrained ViT model and local Deeplake DB