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wangzz313's Projects
3d-connect-component-label-with-gpu
This is my 3D parallel algorithm, but it is not perfect. It provides a way for you to optimize it. I hope someone can give a good opinion
anchorloss
Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
ce-net
The manuscript has been accepted in TMI.
connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
connected_components_pytorch
A PyTorch implementation of Connected Components Labeling
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
cpp-primer
C++ Primer 5 answers
fill_voids
Fill holes in binary 2D & 3D images fast.
gpu-based-parallel-graph-algorithms
CUDA applications that solve all-pairs shortest paths, strongly connected components, breadth-first search, and minimum spanning tree on a GPU.
gpuinfo
An easy way to acquire nvidia gpu information in Python programs
image-transform
A python implementation for affine transformation on 2D and 3D images
network-slimming
Network Slimming (Pytorch) (ICCV 2017)
python3-gdcm
GDCM wrapper for python3
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
pytorch-se-resnet
SE-ResNet PyTorch Version
pytorch-sobel
Sobel operator-based loss functions and operation
pytorch-weights_pruning
PyTorch Implementation of Weights Pruning
pytorch-yolo-v1
an experiment for yolo-v1, including training and testing.
pytorch-yolov3
Minimal PyTorch implementation of YOLOv3
sarepy
Numerical techniques for ring artifact removal in tomography.
segloss
A collection of loss functions for medical image segmentation
segwithdistmap
How distance transform maps can assist medical image segmentation?
ssd-pytorch
SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )
synchronized-batchnorm-pytorch
Synchronized Batch Normalization implementation in PyTorch.
teach-yourself-cpp-in-one-hour-a-day
21天学通c++
vessel-centerline-extraction
根据最短路径回溯算法提取血管的中心线
vimrc
The ultimate Vim configuration: vimrc
visdom-docker
Visdom Docker
visdom-tutorial
A simple tutorial to use Visdom to plot your PyTorch training graphs
watershed-opticalflow-label
基于分水岭分割和光流的图像标注方法
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