EasonOnFire

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

SegLossOdyssey

A collection of loss functions for medical image segmentation

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

pytorch-mask-rcnn

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

pytorch-best-practice

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

vnet.pytorch

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

Pluralistic-Inpainting

[CVPR 2019]: Pluralistic Image Completion

wechat-export

📃 Export WeChat chat histories to HTML files.

NTIRE2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

Shift-Net_pytorch

Pytorch implementation of Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)

EDSR-Tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Ethereum

以太坊开发 HelloWorld for Java

Mask_RCNN_Pytorch

Mask R-CNN for object detection and instance segmentation on Pytorch

kaggle-rsna-intracranial-hemorrhage

rsna

:hospital: RSNA Intracranial Hemorrhage Detection :hospital:

DenseSharp

[Cancer Research] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas

Deeplab_pytorch

All version of deeplab implemented in Pytorch

deep_alignment_network_pytorch

PyTorch Implementation of the Deep Alignment Network

CNN-2D-X-Ray-Catheter-Detection

Catheter segmentation in X-Ray fluoroscopy using convolutional neural networks.

pct

CT Perfusion Toolbox

catheter_detection

Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data

PerfusionCT-Net

A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.

CTP

Used to create perfusion maps of computed tomography perfusion

Skull_Stripping

CT_SKULL_STRIP_EXAMPLE