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actigraph-actiwave-analysis

Analyze raw data from ActiGraph and ActiWave devices

actigraphcounts

Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor

actipy

Python tool to process Axivity, GENEActiv, and Actigraph files

activity-classification

Classifies sensor data from activities such as running and sitting.

activity-recognition

Multi-classification problem, svm, knn, matlab

activity-recognition-using-machine-learning

The project involves training a Machine Learning model to classify the kind of activity a person is performing including sitting, standing, laying, walking, walking upstairs and walking downstairs using data collected from smartphones.

activityclassificationusingdl

advanced-shiny

🤹 Shiny tips & tricks for improving your apps and solving common problems

agcounts

Code for the technical report on the ActiLife counts algorithm.

analyze-tremor-bradykinesia-pd

This repository contains Python code that can be used to build analytics to measure aspects of tremor and bradykinesia in patients with Parkinson's Disease. These analytics utilize accelerometer data from a wrist-worn wearable device.

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

applied-machine-learning-for-health-and-fitness

source code

ascii_plots

Convenience function for quick and dirty data analysis

asleep

asleep: a sleep classifier for wearable sensor data using machine learning

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-r

A curated list of awesome R packages, frameworks and software.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

blandaltmanpy

Python script to perform Bland-Altman statistical analysis on two vectors of data. The Bland-Altman method is the most commonly used technique to compare data from a new measure to a known gold standard in the biomedical field.

cns-2022-theft

Holds source code and slides for my presentation on the theft R package at CNS 2022

cns_2022

covariateanalysis

cs-video-courses

List of Computer Science courses with video lectures.

data-science-and-machine-learning-theory-and-projects-a-to-z

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datagotham2013

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-tsc

Multivariate Time Series Classification- Activity Recognition

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

end-to-end-machine-learning