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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dexined

Tensorflow Implementation of DexiNed for Edge Detection WACV'20 (also in PyTorch )

dsb17_3d_lung_nodule_classifier

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

hello-algorithm

🌍「算法面试+算法知识」针对小白的算法训练 | 还包括：1、阿里、字节、滴滴 百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图 （右侧来个 star 吧 🌹，English version supported）

imgaug-doc

Code and assets to generate the documentation of imgaug

isbi2020_tutorial

IEEE ISBI 2020 SimpleITK Tutorial

jd-seckill-maotai

京东茅台抢购最新优化版本，京东秒杀，添加误差时间调整，优化了茅台抢购进程队列

jde

Towards Real-Time Multi-Object Tracking

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kaggle_ndsb2017

Kaggle datascience bowl 2017

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

luna16_multi_size_3dcnn

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

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.

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

mediseg

meduncertainty

Uncertainty in Medical Image Analysis

miccai-lits2017

liver and liver tumor segmentation using deep learning

miccai_weakly_supervised_tutorial

Code for tutorial at MICCAI 2019

monai

AI Toolkit for Healthcare Imaging

multi-scale-curriculum

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

nndetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

opencv-python-tutorial

OpenCV-Python图像处理教程

pandas-cookbook

Recipes for using Python's pandas library

pcl

Point Cloud Library (PCL)