Doodle Smith, an ML-powered web game that runs completely in your browser, thanks to Transformers.js!
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Updated
Dec 15, 2023 - JavaScript
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 data set.
A PyTorch implementation of MobileViT.
2D facial landmarks detection with neural networks
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
Paddle Implement Activity:MobileVit v3
Porting vision models to Keras 3 for easily accessibility. Contains MobileViT v1, MobileViT v2
A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.
A mobile-friendly solution for COVID-19 diagnosis from CT images using Mobile ViT transformers
MobileViT Implementation from scratch in TensorFlow and PyTorch
Transformers goes brrr... Attention and Transformers from scratch in TensorFlow. Currently contains Vision transformers, MobileViT-v1, MobileViT-v2, MobileViT-v3
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
Collection and Implementation of Mobile-based Vision Transformer in Pytorch
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
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