K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.

Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".

A diabetes prediction webapp

This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.

Using machine learning methods to predict COVID-19 diagnoses in the Swiss population.

An android app allowing users to log their assets and recommend micro insurance policies based on value, using image recognition and machine learning. This project was created at HackThe6ix 2019, by Bob Bao, Hao Cong Su, Michael Dai, and Jarrod Servilla. Credits to Bob Bao for the detailed README, including the demo. The backend can be found here:

Customer churn prediction is to measure why customers are leaving a business. We will build a deep learning model to predict the churn.