803908's Stars
anishoswal/Feature-Engineering-on-CGM-TimeSeries
Feature Extraction, Validation, Verification and PCA on CGM time series data signifying glucose levels of a patient on meal intakes.
Ashwiinii/terrain-detection
Training a Bidirectional LSTM to classify different terrains from time series data.
MirMikael/Bidirectional-LSTM-GRU-to-Time-Series-Signal-Classification
krisandre7/daphnet-freezing
pravinkumaaar/FoG_Daph
Daphnet FoG prediction
TheMrGhostman/InceptionTime-Pytorch
Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder
NikitaNitinModi/Extraction-of-time-series-features-for-human-activities
Uttamkannantha/Time-Series-Classification-Part-1--Feature-Creation-Extraction
zygmuntz/time-series-classification
Classifying time series using feature extraction
sktime/sktime
A unified framework for machine learning with time series
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
predict-idlab/tsflex
Flexible time series feature extraction & processing
JingweiToo/EMG-Feature-Extraction-Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
ccube85/Piecewise_Segmentation_Stock_Price
Python code implementing the piecewise segmentation of a signal given in input. Three main algorithms (sliding windows, top down and bottom up) are implemented and compared
mu-xiaofan/C534-project
Daphnet Freezing of Gait
cooper-a/fog-detection
Realtime (online) Freezing of Gait Detection using LSTM-FCN achieving test set F1 score of 90.4%
joslack/freezing-of-gait-exploration
testing various machine learning algorithms for detection and prediction of freezing of gait in parkinsons patients.
juliacamps/FOG
Freezing of Gait detection using deep learning techniques
esansano/dl-for-har-comparison
Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
moon-hotel/TransformerClassification
A Transformer Framework Based Classification Task
terminalai/GaitMonitoringForParkinsonsDiseasePatients
To monitor gait patterns to detect freezing of gait. Done as part of the Singapore Science Mentorship Programme + CS4131 module + extended.
eno-lab/IMU-based-HAR-benchmark
saif-mahmud/hierarchical-attention-HAR
[PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
terryum/Data-Augmentation-For-Wearable-Sensor-Data
A sample code of data augmentation methods for wearable sensor data (time-series data)
AccSrd/multimodal-Parkinson-data-processing
Multimodal Dataset of Freezing of Gait in Parkinson's Disease
wuwusky/lite_hrnet
Lite-HRNet: A Lightweight High-Resolution Network
WangChyanhassth-2say/BlazePose_torch
pytorch implement of google blazePose
geaxgx/depthai_blazepose