ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
Web application to view the contents of a chef (or cinc) server
The InSpec Profile Developer Lab is a GitHub Codespaces environment that makes it quick and easy for you to start learning and working on your own InSpec profiles.
Implementation of various models for the classification of single-lead and multi-lead ECGs using the Physionet 2021 challenge data. Repository for my Master Thesis @MaastrichtUniversity.
Chef/Cinc cookbook for configuring Elrond Network infrastructure
Compliance & security policy as versioned, testable code — OPA/Rego + InSpec/Cinc, automated scanning shipped to SIEM, mapped to NIST CSF 2.0 & CIS Controls v8.
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