Projects

An EE106A class project for trying autonomous driving algorithms.

With H.E.A.T, retail companies will have a better tool to understand and analyze the traction in their stores.

A generative contextual augmentation framework using a deep learning approach that predicts the placement of an object given an existing scene.

A live model zoo for Clipper.ai, a low-latency prediction service for your ML models.

A picture of your groceries is all you need for your next meal.

A robot arm controlled using hand gestures.