🚀ViT(Vision Transformer) Model by Pytorch

This project leverages the DeepVit model, a variant of the Vision Transformer (ViT), for the classification of histopathology images from the BreakHis dataset.

Simple implementation of Vision Transformer

CLIP guiding self towards an image, from text prompt

This is a warehouse for Agent-Attention-Models based on pytorch framework, can be used to train your image datasets.

Rename vtop files with ease

Find free slots from time table uploaded for events, FFDS and other basic work.

Convert Image to audio using ViT, GPT and FastSpeech

This is a warehouse for DaViT-Pytorch-model, can be used to train your image-datasets for classification tasks.

An alternative approach to receive VIT emails for the students without the need for logging into GMail.

Implementation of a Paper related to Vision Transformer

An ablation study conducted on the CIFAR-100 dataset. Three deep learning architectures are utilized: Convolutional Neural Networks (CNN), Gated Multilayer Perceptrons (gMLP), and Vision Transformers (ViT). The study is built using the PyTorch framework as well as PyTorch Lightning for clean and concise code and Optuna for hyperparameter tuning.

All in one website to help make a student's life easier in Vellore.

Experimental fork of TimeSformer from Facebook AI to extend the attention-based model to video generation.

Unofficial Tensorflow implementation of the ViViT model architecture

Habarovsk Hack Solution

Fine-tuning and validation of ViT for 1D hyperspectral images, in PyTorch

[WIP] Unofficial PyTorch implementation for "ViTGAN: Training GANs with Vision Transformers".

CVPR24 Anomaly detection solution for MvTec