Implementation of Vision Transformers in Flax

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Tensorflow implementation of the Vision Transformer (Bye-Bye Convolutions)

Pytorch Lightning implementation of Vision Transformer with support for loading checkpoints saved in official Flax implementation.

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

🖼 + 🤖 = 🧠

Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

An implementation of multiple notable attention mechanisms using TensorFlow 2

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer

CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)

Tensorflow 2.x implementation of Vision-Transformer model

Implementation of Convolutional enhanced image Transformer

SiT: Self-supervised vision Transformer

Compact Convolution Transformers

Presentation on An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Vision Transformer implementation in Tensorflow 2.

Pytorch implementation of ViT on CIFAR-10.

Code for the Top-1 submission of contest of VCS AY 2020-2021, the Vision and Cognitive Service class, University of Padova, Italy.

PyTorch implementation of "Segmenter: Transformer for Semantic Segmentation" Strudel et al. (2021)