JesseShaw

4ply_data

data driven stuff for 4ply

featuretools

An open source python library for automated feature engineering

GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

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

flirt

Are you ready to FLIRT with your wearable data?

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

my-codes-of-machine-learning

sleeppy

sleep-analysis

A Python project to analyze my Fitbit sleep data.

pycaret

An open-source, low-code machine learning library in Python

Time-Series-Classification-with-LSTMs-Sensor-EDA

Time Series Classification with LSTMs | Sensor EDA

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

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

sktime

A unified framework for machine learning with time series

SIMPAC-2021-172

multivariate_time_series_forecasting

A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.

LSTNet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

ML_Core

Core ECL Machine Learning library