Jesse Shaw's starred repositories
featuretools
An open source python library for automated feature engineering
Human-Activity-Recognition
Multimodal human activity recognition using wrist-worn wearable sensors.
Heart-Rate-Variability
Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).
Model-Development
General methods for machine learning for digital biomarker discovery.
Biosensor-Framework
C# library that handles the full process of gathering biometric data from a body-worn sensor, transforming it into handcrafted feature vectors, and delivering an inferencing result in thirty-five lines of code.
empatica-charts
Charts for physiological data gathered from Empatica E4 wristband
stress-detection
Spec. Project In Computer Engineering at Bogazici University
Resting-Heart-Rate
Estimation of resting heart rate.
Pre-process
Pre-processing methods for mHealth and wearables data.
E4-TimeStamper
E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.
empaticaHRV
Get HRV from Empatica E4
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
sleep-analysis
A Python project to analyze my Fitbit sleep data.
Time-Series-Classification-with-LSTMs-Sensor-EDA
Time Series Classification with LSTMs | Sensor EDA
PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
multivariate_time_series_forecasting
A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.