yanhuanhuanyy's repositories
cm2013_sleep_staging
Project to predict sleep stages based on EEG, ECG, EOG data. Signals are filtered using different methods (Wavelet, Butterworth). The prediction was done using feature extraction in combination with SVM, Shallow NN and CNN.
cross-domain-detection
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
DTHB3D_Reg
This package performs 3D non-rigid image registration for medical and synthetic images using truncated hierarchical B-splines (THB-Splines)
EEG-Datasets
A list of all public EEG-datasets
flownet2-tf
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
image-registration
Mutual information + gradient information
image-registration-1
A MATLAB library/toolbox providing access to image registration suitable for use with medical images.
ImageRegistration
Medical Image Registration using Mutual Information
MIToolbox
Mutual Information functions for C and MATLAB
Mutual-Information
基于互信息的图像配准软件
PSNR_SSIM
Peak signal-to-noise ratio and structural similarity index can calculate image quality
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
RegistrationProject
University 4th year engineering project. Implements medical non-rigid image registration.
simple-sgm
Implementation of a simplified version of the SemiGlobal Matching algorithm (Hirschmuller, H. (2005). Accurate and Efficient Stereo Processing by Semi Global Matching and Mutual Information. CVPR .)
SuperPoint
Efficient neural feature detector and descriptor
superpoint_logfile
rpautrat/SuperPoint training log file
SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习