Jesse Shaw (JesseShaw)

JesseShaw

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Location:United States

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Jesse Shaw's starred repositories

4ply_data

data driven stuff for 4ply

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featuretools

An open source python library for automated feature engineering

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GraphGPT

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

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Human-Activity-Recognition

Multimodal human activity recognition using wrist-worn wearable sensors.

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Heart-Rate-Variability

Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).

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Model-Development

General methods for machine learning for digital biomarker discovery.

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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.

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empatica-charts

Charts for physiological data gathered from Empatica E4 wristband

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stress-detection

Spec. Project In Computer Engineering at Bogazici University

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Resting-Heart-Rate

Estimation of resting heart rate.

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Pre-process

Pre-processing methods for mHealth and wearables data.

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E4-TimeStamper

E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.

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empaticaHRV

Get HRV from Empatica E4

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flirt

Are you ready to FLIRT with your wearable data?

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RNN-Time-series-Anomaly-Detection

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

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sleep-analysis

A Python project to analyze my Fitbit sleep data.

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pycaret

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

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

Time Series Classification with LSTMs | Sensor EDA

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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

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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

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sktime

A unified framework for machine learning with time series

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multivariate_time_series_forecasting

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

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LSTNet

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

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ML_Core

Core ECL Machine Learning library

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