Companion code from .NET in Action, second edition

C# Design Patterns

Official implementation of the paper: "Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches"

Event-Driven Architecture for Beginners using RabbitMQ and .NET, by BPB Publications

A collection of useful .gitignore templates

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

.hea/.dat ECG-files processing and converting tool (CLI & module) for deeper integration in the datascience ecosystem

A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

article feature extraction time series

A library for extracting a wide range of features from single-lead ECG waveforms.

Extraction of ECG data features (hrv) using python

Methods to get the probability of a changepoint in a time series.

MIT-BIH data preprocessing and a sample deep model

I test different approaches to analysing electrocardiograms and test them on the MIT-BIH Arrhythmia Database.

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,…

Pydnet on mobile devices

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

Developing cardiac arrest prediction model using machine learning

Spectacular Test Runner for JavaScript

Simple JavaScript testing framework for browsers and node.js

The OpenAPI Specification Repository

ECGNet, leveraging PyTorch, classifies ECG signals with 96% accuracy, using a streamlined model of around 1300 parameters, trained on Kaggle's PTB Diagnostic ECG Database

Open-source web application framework for ASP.NET Core! Offers an opinionated architecture to build enterprise software solutions with best practices on top of the .NET. Provides the fundamental in…

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

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Example code for "Real-World Natural Language Processing"

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

Ultimate ASP.NET Core Web API

bottle.py is a fast and simple micro-framework for python web-applications.