Face2Data: Extract meaningful information from a person face in less than a second. Powered by Keras and Flask.

Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS

Exploring Keras functional API to build a multi-output model to predict race, gender and sex on UTK Face dataset.

PyTorch Implementation of a Multi-Output Neural Network on the UTK Face Dataset to predict a person's age (range), ethnicity, and gender.

The aim is to use the eight features to predict each of the two responses (heating and cooling loads) with multi-output architecture.

Multi-output and XGBoost models have been created which can estimate numbers of the solar flares production in specific region on sun in the following 24 hours.

Prediction of acute inflammations of urinary bladder and acute nephritises using UCI Acute Inflammations Data Set.

Multi-output CNN model for Disaster Reconnaissance

Console project, neural network with three neurons on output to check your health.

Building classification and regression models to predict quality and type of the wine.