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svm-image-classification

Image Classification with `sklearn.svm`

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-pytorch

Implementation of the Swin Transformer in PyTorch.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

template-latex-elsevier-cas-dc

A template repository for quickly setting up papers to be submitted to Elsevier Journals

tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

transformer

PyTorch Implementation of "Attention Is All You Need"

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformer-in-computer-vision

A paper list of some recent Transformer-based CV works.

transformer-in-vision

Recent Transformer-based CV and related works.

tuberculosis-severity

10th place solution to the ImageCLEF Tuberculosis 2019 - Severity Scoring.

tumor-segmentation

This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.

u-net-for-multi-class-semantic-segmentation

umf_unet

U-net model in Matlab to segment unmyelinated fibers on histological TEM images.

unet

unet for image segmentation

unet-1

CSCI E-89 Deep Learning - Final Project - Image Segmentation

unet-mri

UNet Training for MRI Image Segmentation

unsupervised_anomaly_detection_brain_mri

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

vision

Datasets, Transforms and Models specific to Computer Vision

vision-transformer-keras-tensorflow-pytorch-examples

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

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vit-v-net_for_3d_image_registration_pytorch

Vision Transformer for 3D medical image registration (Pytorch).

vnet

Segmentation of Kidney and Tumor Competition A Pytorch implementation for <V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation>

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)