haha9464

UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

gan-aug-analysis

breast_ultrasound_lesion_segmentation_PyTorch

PyTorch implementation of segmentation models for breast ultrasound images.

GAN_breast_mammography_segmentation

SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

balanced_mixup

Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

Focal-Loss-Pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

ResNeXt

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

medical-data

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

tutorials

PyTorch tutorials.

ShufflenetV2_PLUS

the modify for shufflenets: shufflenet_v2_csp;shufflenet_v2_k5;shufflenet_v2_liteconv;shufflenet_v2_se_attention;shufflenet_v2_sk_attention

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

imgaug

Image augmentation for machine learning experiments.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

scikit-learn

scikit-learn: machine learning in Python

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

grad-cam-pytorch

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

Grad-CAM.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

open-aff

code and trained models for "Attentional Feature Fusion"

grad-cam

[ICCV 2017] Torch code for Grad-CAM

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

MathModel

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

CBAM.PyTorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

BenchmarkTransferLearning

Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis

curves_for_object_detection

Draw ROC curve and PR curve for object detection tasks, such as face detection.