ynulonger

ynulonger.github.io

BY Blog ->

ADS_UNet

Code for ADS_UNet

RSESF

RSESF

DE_CNN

This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...)

Roto-scale-translation-Equivariant-CNN

Code for Deformation Robust Roto-Scale-Translation Equivariant CNNs, Transactions on Machine Learning Research, 2022.

MIDLLatexTemplate

Latex template for the MIDL Conference

LTUNet

CrowdsourcingDataset-Amgadetal2019

Use this to download all elements of the dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

Segnet-pytorch

kernel-convolution

PyTorch implementation of Kervolutional Neural Network (CVPR 2019): https://arxiv.org/abs/1904.03955

DigiPathAI

Digital Pathology AI

fcdensenet_pytorch

PyTorch implementation of Fully Convolutional DenseNets for Semantic Segmentation

Semantic-segmentation-of-remote-sensing-images

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0

ijcnn

This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network"

CAMELYON

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

challenge

PAIP-2019

keras-gcnn

Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology".

DeepBS

vigilance_estimate

Embeded

Embeded Emotion Recognition

densenet-tensorflow

DenseNet Implementation in Tensorflow

k-means

seg_metrics_pytorch

Semantic Segmentation Metrics Functions on pytorch.[Currently for PASCAL VOC 2012, easily expandable]

deep-models

Implementation of a couple deep learning models using TensorFlow

camelyon16

Information-bottleneck

Python implementation of the infomration bottleneck method (tishby et al, 1999)

TextureSegmentationLBP

Implementation of Texture Segmentation Algorithm using LBP, proposed by Ojala, Pietikainen in 1997