A tensorflow implementation of the ERFNet architecture trained on the Camvid Dataset
Semantic Segmentation on the Kitti road dataset
A Convolutional Neural Network that simultaneously recognizes and localizes the digits from images or videos containing multi-digit numbers.
A programming challenge to create a deep learning model that classifies grocery items.
A Recurrent Neural Network that generates original text at the character level.
Using reinforcement learning to make a taxi cab agent (in a grid world) learn the best way to ferry its passengers to their destination.
Recognize if someone is performing bicep curls correctly using accelerometers and gyroscopes.
Using unsupervised learning techniques to identify what types of clients a business has (based on spending habits) in order to help them make informed business decisions.
Using classification machine learning algorithms to create a model that would be useful in identifying students that may need early intervention before they fail to graduate.
This project uses machine learning concepts on data for the housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
An Rshiny web application that allows you to explore measurements of health in the American population since the year 2000.