AbnerHe's repositories
Pytorch-Medical-Segmentation
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
pytorch_segmentation_tutorial
simple pytorch segmentation
Awesome-AI-algorithm
人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码
BCDU-Net
BCDU-Net : Medical Image Segmentation
Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
CVPR2020-HAttMatting
Attention-Guided Hierarchical Structure Aggregation for Image Matting(CVPR2020)
deepbleed
3D Volumetric Intracerebral Hemorrhage Segmentation
faces-segmentation
An experimentation with HOG features for pixel-wise semantic segmentation of faces
Interview
Interview = 简历指南 + LeetCode + Kaggle
Location-aware-Upsampling-for-Semantic-Segmentation
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
MedJournal-OpenSourcePapers
A collection of open-source papers in MedIA, TMI, TBME, MedPhy and Radiology since 2020.
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
QT5-Image-and-video-processing-software
使用QT5+Opencv完成简单的图像处理及视频处理软件。图像处理包括:灰度化、均值滤波、边缘检测、伽马变换、旋转镜像、亮度调节、二值化、对比度,饱和度调节、色彩调节、图片保存、水印等。 视频处理包括:二值化、边缘检测、灰度化、平滑、局部马赛克、缩放等。 此外还进行了界面美化、中英翻译等。
recommendation
Recommendation System using ML and DL
severstal-steel-defect-detection
Kaggle Segmentation Challenge
TGRNet-Surface-Defect-Segmentation
Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation
TinyWebServer
:fire: Linux下C++轻量级Web服务器
xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.