linkghm

linkghm

Geek Repo

Company:Northeastern University

Location:Shenyang,China

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linkghm's repositories

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

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ADNet

Code for the paper "Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels".

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awesome-data-labeling

A curated list of awesome data labeling tools

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cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

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CVPR2022-Papers-with-Code

CVPR 2022 论文和开源项目合集

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

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Django

Django Learning

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docker-drag

Pull image from the Docker Hub HTTPS API

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ECCV2022-Papers-with-Code

ECCV 2022 论文开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2020开源项目

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electron-ssr-backup

electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜

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frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

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HipHop_2D3Dregistration

2D/3D registration between CT/MRI or STL models and X-ray images (November 2018)

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linkghm.github.io

personal blog using github pages & hugo

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lungmask

Automated lung segmentation in CT

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mean_average_precision

Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.

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medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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miseval

a metric library for Medical Image Segmentation EVALuation

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MONAI

AI Toolkit for Healthcare Imaging

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NSFC-application-template-latex

国家自然科学基金申请书正文(面上项目)LaTeX 模板(非官方)

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PythonSQL

Python MySQL

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PytorchLearning

Records of learning pytorch

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Read-Medical-Image

Read Medical Image

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ShowNodulePositions

Show nodule positions (voxel coordinates)

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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waka-readme

Wakatime Weekly Metrics on your Profile Readme.

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