zhangwang997's Stars
isocpp/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
ddbourgin/numpy-ml
Machine learning, in numpy
kornia/kornia
🐍 Geometric Computer Vision Library for Spatial AI
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
AboutRSS/ALL-about-RSS
A list of RSS related stuff: tools, services, communities and tutorials, etc.
eastlakeside/awesome-productivity-cn
绝妙的个人生产力(Awesome Productivity - Chinese version)
ShawnBIT/UNet-family
Paper and implementation of UNet-related model.
SegmentationBLWX/sssegmentation
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
PatrickHua/SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
ZJUGiveLab/UNet-Version
google-deepmind/surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
iBelieveCJM/Tricks-of-Semi-supervisedDeepLeanring-Pytorch
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
lxtGH/GALD-DGCNet
Source code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)
HiLab-git/DTC
Semi-supervised Medical Image Segmentation through Dual-task Consistency
clguo/SA-UNet
The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.
google-research/nested-transformer
Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
kleinzcy/SASSnet
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
lxtGH/dfn_seg
Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)
vios-s/disentanglement_tutorial
This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.
ShuaiChenBIGR/MASSL-segmentation-framework
Multi-task Attention-based Semi-supervised Learning framework for image segmentation
tqxli/self_supervised_learning_in_medical_imaging
A collection of self-supervised papers in medical imaging.
xxxliu95/DGNet
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Flaick/VNet
Segmentation of Kidney and Tumor Competition A Pytorch implementation for <V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation>
ReaFly/SemiMedSeg
MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).
YaoZhang93/TumorCP
[MICCAI 2021] The official code for "TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation"
ReubenDo/MRIPreprocessor
vios-s/multimodal_segmentation
Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation
jizongFox/MI-based-Regularized-Semi-supervised-Segmentation
Code for "Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization"