EasonOnFire

EasonOnFire's Stars

• qubvel/segmentation_models.pytorch

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

  Language:Python9.1k796201.6k

• NVIDIA/apex

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

  Language:Python8.3k1001.2k1.4k

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.8k9847597

• sanghyun-son/EDSR-PyTorch

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

  Language:Python2.4k40345669

• Beckschen/TransUNet

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

  Language:Python2.3k12150495

• multimodallearning/pytorch-mask-rcnn

  Language:Python2k3498558

• lucasb-eyer/pydensecrf

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

  Language:C++1.9k40107415

• zjhuang22/maskscoring_rcnn

  Codes for paper "Mask Scoring R-CNN".

  Language:Python1.9k43112378

• bigmb/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

  Language:Python1.9k1666345

• chenyuntc/pytorch-best-practice

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

  Language:Python7361912226

• mattmacy/vnet.pytorch

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

  Language:Python6882533201

• lyndonzheng/Pluralistic-Inpainting

  [CVPR 2019]: Pluralistic Image Completion

  Language:Python6751875145

• luin/wechat-export

  📃 Export WeChat chat histories to HTML files.

  Language:C6747469

• limbee/NTIRE2017

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

  Language:Lua6522738146

• LIVIAETS/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.

  Language:Python649106197

• Zhaoyi-Yan/Shift-Net_pytorch

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

  Language:Python363137483

• jmiller656/EDSR-Tensorflow

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

  Language:Python3322553107

• zhangbincheng1997/Ethereum

  以太坊开发 HelloWorld for Java

  Language:Java2392010104

• jytime/Mask_RCNN_Pytorch

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

  Language:Python18791952

• appian42/kaggle-rsna-intracranial-hemorrhage

  Language:Python1668581

• darraghdog/rsna

  :hospital: RSNA Intracranial Hemorrhage Detection :hospital:

  Language:Python1273131

• duducheng/DenseSharp

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

  Language:Jupyter Notebook1175250

• dontLoveBugs/Deeplab_pytorch

  All version of deeplab implemented in Pytorch

  Language:Python595211

• pambros/CNN-2D-X-Ray-Catheter-Detection

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

  Language:C406024

• justusschock/deep_alignment_network_pytorch

  PyTorch Implementation of the Deep Alignment Network

  Language:Python38358

• ruogufang/pct

  CT Perfusion Toolbox

  Language:MATLAB231112

• xinario/catheter_detection

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

  Language:Python19239

• JulianKlug/PerfusionCT-Net

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

  Language:Jupyter Notebook152144

• SethLirette/CTP

  Used to create perfusion maps of computed tomography perfusion

  Language:R13005

• Breakey/Skull_Stripping

  CT_SKULL_STRIP_EXAMPLE

  3100