H2O Wave allows you to build AI apps, faster. This directory houses sample applications that you can download and run locally, modify, and integrate into your own AI apps.

Follow the instructions here to download and run the latest Wave Server, a requirement for all sample apps. Then, choose an app from below for setup instructions.

Details: This app allows you to filter hotel reviews and compare the most common phrases from the subset to the overall most common phrases.

Details: This a game where the machine "thinks" of a number and the human has to guess, getting told higher or lower. This application has a leader board where different users can compete to see who can guess numbers in the fewest number of turns, on average. This application teaches the developer about different app states and could be fun for new users.

Details: This application allows a business user to review model predictions on whether or not someone will pay off their credit card - a model used to approve or deny credit card applications. Specifically, this app provides a list of predictions the model is not confident about (predictions in the 0.4 to 0.6 range) and allows the end user to mark someone as approved or not.

Details: This application builds a churn prediction model with H2O-3 and provides the likelihood to churn and actionable recommendations to prevent churn via nicely-presented top shapley values.

Details: This application allows a marketing anlayst to understand how their recommendation engine works. It allows them to add items to their cart and as they do a list of recommended products is updated.

Details: This application provides easy-to-use interface for exploring historical sales values and looking at future forecasts across store segments

Details: This application pulls tweets and uses the open source VaderSentiment to understand positive and negative tweets