Tysm-tysm's Stars
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
EmmaRocheteau/eICU-GNN-LSTM
This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).
tsyoshihara/Alzheimer-s-Classification-EEG
Alzheimer’s Disease (AD) is the most common neurodegenerative disease. It is typically late onset and can develop substantially before diagnosable symptoms appear. Electroencephalogram (EEG) could potentially serve as a noninvasive diagnostic tool for AD. Machine learning can be helpful in making inferences about changes in frequency bands in EEG data and how these changes relate to neural function. The EEG data was sourced from 2014 paper titled Alzheimer’s disease patients classification through EEG signals processing by Fiscon et al. There were patients with AD, mild cognitive impairment (MCI), and healthy controls. The data was already preprocessed using a fast fourier transform (FFT) to take the data from the time domain to the frequency domain. There were differing levels of effectiveness in terms of classification but generally, Fisher’s discriminant analysis (FDA), relevance vector machine, and random forest approaches were most successful. Due to inconsistent feature importances in different models, conclusions about important frequency bands for classification were not able to be made at this time. Similarly, different frequencies were not able to be localized to different regions of the brain. Further research is necessary to develop more interpretable models for classification.
Wenliang-He/ai-tutorial-code
Code for AI related video tutorials
mli/paper-reading
深度学习经典、新论文逐段精读
CompVis/stable-diffusion
A latent text-to-image diffusion model
ZitongLu1996/Python-EEG-Handbook-CN
Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python
MICLab-Unicamp/e2dhipseg
This contains official implementation for Extended 2D Volumetric Consensus Hippocampus Segmentation
kwagstyl/FCDdetection
holgern/pyedflib
pyedflib is a python library to read/write EDF+/BDF+ files based on EDFlib.
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)