Yue Li (liyuejul)

liyuejul

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Location:Freiburg, Germany

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Yue Li's repositories

brainmagick

Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

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UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

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multimodal-decoding

Code associated with the paper titled "A high-performance neuroprosthesis for speech decoding and avatar control" , published in Nature in 2023.

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Supervoxel-for-3D-point-clouds

A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds

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Deep-Learning-for-BCI

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

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EEG-Transformer

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

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MHF-net

Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

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Multispectral-Pedestrian-Detection-Resource

A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.

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stereoEEG2speech

Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.

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sound-source-localization-algorithm_DOA_estimation

关于语音信号声源定位DOA估计所用的一些传统算法

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pyVHR

Python framework for Virtual Heart Rate

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stock_predict_with_LSTM

Predict stock with LSTM supporting pytorch, keras and tensorflow

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DAGAN

DAGAN: Data Augmentation Generative Adversarial Networks

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Blood-pressure-regression

This project uses PPG measurements to estimate blood pressure.

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ppg2ecg-pytorch

The official implementation of the paper "Reconstructing QRS Complex from PPG by Transformed Attentional Neural Networks"

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graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

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Heartbeat-Classification

Classify ECG signals into predefined categories based on heartbeat abnormality by transforming time series to images

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rPPG-1

remote heart rate detection / photoplethysmography software

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Fatigue-Driven-Detection-Based-on-CNN

本科毕设内容:基于卷积神经网络的疲劳驾驶检测。

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Deep-rPPG

Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools

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Blood_Pressure-Prediction-by-Pulse_Wave_transit_time

Blood Pressure prediction based on Heart Rate & Pulse Wave Transit Time (GraduationProject)

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BloodPressure_PPG_ML

Repository from final conclusion work of Computer Engineering. Estimation of Systolic and Diastolic Blood Pressure Using PPG and ECG Signals and Machine Learning Algorithms

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Heart-rate-measurement-using-camera

real time application to measure heart rate

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estimateBP

An implementation of 'Continuous Systolic and Diastolic Blood Pressure Estimation Utilizing Long Short-term Memory Network' (Frank P.-W. et al.) paper

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time-series-classification

time series classification from scratch with deep neural networks (WIP)

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