Kaido0

fullstack-tutorial

🚀 fullstack tutorial 2022，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试

dilation-tensorflow

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

biomedical-image-segmentation

Multi-Level Contextual Network for Biomedical Image Segmentation

JCSprout

👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

squeeze-unet

Squeeze-unet Semantic Segmentation for embedded devices

keras-image-segmentation

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

LinkNet-Keras

implementation of LinkNet in Keras

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

seckill

秒杀的练习小项目

Bank-of-scheduling-system

银行调度系统采用多线程技术，实现了银行中常见的客户取号、排队叫号的管理系统

python-xianyu-spider

简单的闲鱼爬虫，采集闲鱼游泳卡转让信息，可自己在url中自定义要采集的二手商品信息以及筛选商品价格，采集完成并发送邮件通知

semantic_seg_paper_collection

DeepLearningInMedicalImagingAndMedicalImageAnalysis

3D-brain-segmentation

This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

keras_tfrecord

Extending Keras to support tfrecord dataset

brain-tumor-segmentation

Using CNN's for BRATS brain tumor segmentation challenge

BRATS

Brain Tumor Segmentation using CNN

SVM-MRFSegmentation

scikit-learn-doc-cn

scikit-learn机器学习库中文文档翻译项目

deep_fcn

unet-tensorflow-keras

A concise code for training and evaluating Unet using tensorflow+keras

brain_segmentation

Implementation of VoxResNet for 3D brain segmentation

3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

3dbrain

Workflows for generating 3D models of brains from MRIs.

CNN-3D-images-Tensorflow

3D image classification using CNN (Convolutional Neural Network)

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

learning

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Detection-Of-Parkinson-s-Disease-with-Brain-MRI-using-Deep-Learning

This project aims at classifying the brain MRIs into healthy and the ones affected by Parkinson using Deep Learning. With a dataset of mere 1360 MRIs (from the University of Alberta hospital), this project was carried out on Keras using Theano. The famous LeNet-5 model was used with some fine tuning to achieve an accuracy of 99.67% .

brain_segmentation