You Only Look at One Sequence (YOLOS)
This is an unofficial PyTorch implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification .
Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
This repo contains the official code and pre-trained models for the Dynamic Vision Transformer (DVT).
Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
simpleT5 is built on top of PyTorch-lightningzap and Transformershugs that lets you quickly train your T5 models.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of H-Transformer-1D, Transformer using hierarchical Attention for sequence learning with subquadratic costs.
ViTSTR is a simple single-stage model that uses a pre-trained Vision Transformer (ViT) to perform Scene Text Recognition (ViTSTR).
Align before Fuse Vision and Language Representation Learning with Momentum Distillation This is the official PyTorch implementation of the ALBEF paper [Blog]. This repository supports pre-training on custom datasets, as well as finetuning
These Maltego transforms allow you to pivot between different PE files based on codeblocks they share in common.
xpdt is (yet another) language for defining data-types and generating code for serializing and deserializing them.
This is the official implementaion of paper TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
[Preprint] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations
This repo holds the code to perform experiments with the multimodal autoregressive probabilistic model Transflower.
A direct translation of the official PyTorch implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" to TensorFlow 2.
Official PyTorch implementation of CVPR 2021 paper Embedding Transfer with Label Relaxation for Improved Metric Learning.
Loopy lets you easily generate the tedious, complicated code that is necessary to get good performance out of GPUs and multi-core CPUs.
CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)
Pytorch implementation of Nueral style transfer algorithm , it is used to apply artistic styles to content images.