chethanmysore Goto Github PK

aide

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

aide_studyforrest3d

Application of AIDE to 3D StudyForrest

angularfrontend

Frontend for Angular js

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

deep-learning-book

MIT Deep Learning Book in PDF format

device-management-service

django-survey-app

A Survey application using Django framework where users participate in surveys created by admins. Admin can track the survey submissions with chart based visualizations.

ds6

DS6: Deformation-aware learning for small vesselsegmentation with small, imperfectly labeled dataset

gesture-recognition-app

A Gesture Recognition App using Microsoft Kinect V2

info-retrieval-system

A java console application to index and search through files and directories

kinect.gesturerecognitionapplication

A Gesture Recognition Application Using Kinect V2

node-backend

A node js API for performing crud operations on a database in mongoDB

portfolio

react-front-end

A reactjs dashboard for managing resources with simple, intuitive and stateful UI.

react-rest-example

A simple React Js app to access RESTful api endpoints

ship-cohort-study

Interpretable Machine Learning to understand Participant Evolution in Longitudinal Cohort Study Data

ship-study-ui

ReactJS dashboard to visualize the model results of ShipCohortStudy

unsupdfc

This is an experimental application of "Unsupervised Image Segmentation using Differentiable Feature Clustering" - Wonjik Kim et.al., on medical Image Segmentation

w-net

An implementation of the W-Net: A Deep Model for Fully Unsupervised Image Segmentation

w-net-3d