Arpitha U's Projects
Code for the papers by the MaViDH research group related to the application of computer vision on X-Rays of COVID-19 patients
Public shared code for doing scenario forecasting and creating reports for various governmental entities.
Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
Cracking the Coding Interview 6th Ed. Solutions (C# Port)
Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"
Data Science concepts
This repository contains my data science portfolio projects
An Exposition of the techniques and results in the paper written by Minaee et. al.
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
This project will contain additional examples for Encog, beyond the console examples provided with Encog. These examples are primarily Winforms GUI applications, and may make use of third party libraries other than Encog.
A sample application for Encog C#.
Experimental comparison of semi-parametric, parametric and machine learning models for time-to-event analysis through the concordance index
Explanation by Progressive Exaggeration
Implementing Siamese networks with a contrastive loss for similarity learning
Open Source project to help predict Pulmonary Fibrosis from CT scans and clinical data.
The scripts that parse, format and run the flatten data behind the scenes.
Must-read papers on graph neural networks (GNN)
COVID-19 scan image detection using GraphCovidNet (GIN model)