wangzz313's repositories

Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

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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

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AnchorLoss

Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"

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CE-Net

The manuscript has been accepted in TMI.

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connected-components-3d

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.

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Connected_components_PyTorch

A PyTorch implementation of Connected Components Labeling

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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Cpp-Primer

C++ Primer 5 answers

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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.

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gpuinfo

An easy way to acquire nvidia gpu information in Python programs

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Image-Transform

A python implementation for affine transformation on 2D and 3D images

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network-slimming

Network Slimming (Pytorch) (ICCV 2017)

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python3-gdcm

GDCM wrapper for python3

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pytorch-loss

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

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PyTorch-SE-ResNet

SE-ResNet PyTorch Version

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PyTorch-Sobel

Sobel operator-based loss functions and operation

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pytorch-weights_pruning

PyTorch Implementation of Weights Pruning

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pytorch-YOLO-v1

an experiment for yolo-v1, including training and testing.

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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sarepy

Numerical techniques for ring artifact removal in tomography.

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SegLoss

A collection of loss functions for medical image segmentation

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SegWithDistMap

How distance transform maps can assist medical image segmentation?

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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 )

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Vessel-centerline-extraction

根据最短路径回溯算法提取血管的中心线

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vimrc

The ultimate Vim configuration: vimrc

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visdom-docker

Visdom Docker

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visdom-tutorial

A simple tutorial to use Visdom to plot your PyTorch training graphs

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Watershed-OpticalFlow-label

基于分水岭分割和光流的图像标注方法

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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