mzza's Stars
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Lightning-AI/lightning
Deep learning framework to train, deploy, and ship AI products Lightning fast.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
ShawnBIT/UNet-family
Paper and implementation of UNet-related model.
ozan-oktay/Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
waleedka/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
JunMa11/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
L1aoXingyu/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
xvjiarui/GCNet
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
commontk/CTK
A set of common support code for medical imaging, surgical navigation, and related purposes.
perone/medicaltorch
A medical imaging framework for Pytorch
mattmacy/vnet.pytorch
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
iMoonLab/DeepHypergraph
A pytorch library for graph and hypergraph computation.
1044197988/Python-Image-feature-extraction
Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。
thtang/CheXNet-with-localization
Weakly Supervised Learning for Findings Detection in Medical Images
Issam28/Brain-tumor-segmentation
A deep learning based approach for brain tumor MRI segmentation.
LIVIAETS/miccai_weakly_supervised_tutorial
Code for tutorial at MICCAI 2022
gregwchase/nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
wulalago/DAF3D
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Ien001/AG-CNN
This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")
Image-Py/myvi
myvi is a simple and light mayavi, m(a)y(a)vi.
LaurentVeyssier/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
liubenyuan/latex-tools
tools and template for latex
wangleihitcs/ThoraxDiseaseClassification
A multi-label-classification model for common thorax disease.
piratehao/Local-to-Global-Learning-for-DNNs
Implementation of Local-to-Global-Learning-for-DNNs
CodHeK/Chest-XRay-Diagnosis
Using Deep learning based predictive models for chest x-ray diagnosis using the CheXpert Dataset.
mzza/CV-News
Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation,CVPR,ECCV,ICCV,MICCAI)