greentreeys

awesome-ocr

Links to awesome OCR projects

EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Document-Classification-and-Post-OCR-Key-Value-Extraction

Document Classification and Post-OCR Key Value Extraction

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

torchio

Medical imaging toolkit for deep learning

MIL.pytorch

PyTorch implementation of Multiple-instance learning

vit-pytorch

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

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

Transformer-Explainability

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

vit-explain

Explainability for Vision Transformers

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

vision_transformer

deit

Official DeiT repository

DSRL

Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation

EyeQ_Enhancement

Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'

DeepGF

Database and code of our MICCAI20 paper: "DeepGF: Glaucoma Forecast Using the Sequential Fundus Images"

SCELoss-Reproduce

Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

Learn_Noisy_Labels_Medical_Images

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

pytorch-ssim

pytorch structural similarity (SSIM) loss

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

SegWithDistMap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

MEB-Net

"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification", ECCV 2020

miccai_weakly_supervised_tutorial

Code for tutorial at MICCAI 2022

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

imaging-research

DMRA

Code for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection". [RGB-D Salient Object Detection]

MONAI

AI Toolkit for Healthcare Imaging

BEAL

code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

TH_COVID19_International

retipy-python

Retinal image processing with python and opencv