LXY-LSY's Stars
RangiLyu/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
learnables/learn2learn
A PyTorch Library for Meta-learning Research
meagmohit/EEG-Datasets
A list of all public EEG-datasets
sccn/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
PengfeiM/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。
mondejar/ecg-classification
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
pliang279/MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
akaraspt/deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Aura-healthcare/hrv-analysis
Package for Heart Rate Variability analysis in Python
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
Aristochi/Dangerous_driving_behavior_detection
利用SSD目标检测算法判断是否闭眼或者张开嘴和吸烟打电话等手势行为,通过PERCLOS准则判断是否疲劳等等,功能涵盖7类情绪识别,眨眼判断,哈欠判断,吸烟,打电话等,达到危险驾驶检测的功能
Samarth-Tripathi/IEMOCAP-Emotion-Detection
Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.
jaisayush/Fatigue-Detection-System-Based-On-Behavioural-Characteristics-Of-Driver
A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
Henry1iu/ierg5350_rl_course_project
IERG5350 Reinforcement Learning Course Project based on the Stanford AI lab's work on multimodal representation.
Sreyan88/Fatigue-Detection-using-Deep-Learning
This is a project based on a research paper to detect fatigue levels of a person through a photograph.
cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.
plcrodrigues/py.ALPHA.EEG.2017-GIPSA
Codes for working with the "EEG Alpha Waves Dataset" developed at the GIPSA-lab
chunhui204/fatigue-detection
MikeMpapa/MLEmg_Monitoring_Physical_Fatigue
EMG Machine Learning Analysis and Feature Extraction for Physical Fatigue Monitoring
mwrazam/fatigue-detection-eeg
Classification of Fatigue in Consumer-grade EEG Using Entropies as Features
thomaswengerter/EEG_DriverFatigue
Extract features from recorded EEG signal to detect driver fatigue with an ML/DL Hybrid Classifier
w5688414/AMNN
AMNN: Attention-based Multimodal Neural Network Model for Hashtag Recommendation
7more0/Driver-Fatigue-Detection
Driver fatigue detection model using Inception v3 and LSTM.
deepneuroscience/Rethinking-Eye-blink
Rethinking Eye-Blink (CHI2021)
HelloBigLuo/Driving-fatigue-dectect-base-on-EEG-signal
基于EEG信号的驾驶疲劳度估计,运用特征提取,岭回归,迁移学习
canaria-technologies/kaggle-5-gamers-input
PPG Heart Beat for Cognitive Fatigue Prediction
funhere/Fatigue_detection
yifanshi127/E-health-app
Muscle fatigue
azerosss/fatigue_detect
this is version 1.0