A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"

TensorRT 2022 亚军方案，tensorrt加速mobilevit模型

Collection and Implementation of Mobile-based Vision Transformer in Pytorch

Transformers goes brrr... Attention and Transformers from scratch in TensorFlow. Currently contains Vision transformers, MobileViT-v1, MobileViT-v2, MobileViT-v3

Porting vision models to Keras 3 for easily accessibility. Contains MobileViT v1, MobileViT v2

A PyTorch implementation of MobileViT.

in this project we used image processing Technique to classify 9 class malwares our final goal is to reach an appropriate model with high accuracy and small size and computational cost

vit初步，CIFAR10

MobileViT Implementation from scratch in TensorFlow and PyTorch

A mobile-friendly solution for COVID-19 diagnosis from CT images using Mobile ViT transformers

2D facial landmarks detection with neural networks

This project is developed under the Computer Security and Privacy Lab of University of Goettingen. Images inside the public and private folders in assets will be classified as either Sensitive(Private) or Non-sensitive(Public) with the help of mobilevit model deployed in an Android application

Doodle Smith, an ML-powered web game that runs completely in your browser, thanks to Transformers.js!

Implements MobileViT and ViT from scratch, compatible with graph execution mode in tensorflow. Compares multiple cnn and transformer-based models including VGG, ResNet, ViT and MobileViT on a small cultrual relic data set.

A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.

Keras 3 implementation of MobileViT