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Frank Best's Projects

agata icon agata

AGATA (Automated Glucose dATa Analysis) is a MATLAB® toolbox to analyse glucose data.

cgmsim icon cgmsim

Realtime T1D simulation of multiple daily injections or insulin pump therapy. Coupled to Nightscout for visualisation and interaction. Can be coupled to iOS Loop or openAPS/AndoidAPS for testing the algorithms in a simulated patient.

diametrics-web-app icon diametrics-web-app

A website for uploading CGM and FGM data to calculate metrics of diabetes control

docs icon docs

Documentation for setting up OpenAPS

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

glucoled icon glucoled

Sample code and some instructions on how to drive ARGB LEDs using a Raspberry Pi

glucometer-protocols icon glucometer-protocols

A shared repository to provide a description of reverse-engineered glucometer protocols

glucose-analysis icon glucose-analysis

Jupyter notebook that generates useful graphs and statistical metrics for analyzing and improving glycemic control.

librelink-xdrip-patch icon librelink-xdrip-patch

Patch für LibreLink, um per vom Libre 2 empfangene Bluetooth-Daten an xDrip weitergeben zu können.

llmware icon llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

medtronic icon medtronic

Go package for communicating with Medtronic insulin pumps via SPI-attached radio modules

mhrv icon mhrv

Matlab toolbox for calculating Heart-Rate Variability metrics on ECG signals

myopenaps icon myopenaps

Versuch mit der Anleitung von openaps/openaps

nightguard icon nightguard

iOS and WatchOS Client for the Nightscout CGM System

openaps icon openaps

not an artificial pancreas system, tools for exploring DIY openaps

oref0 icon oref0

oref0: The open reference implementation of the OpenAPS reference design.

privategpt icon privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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