Training our own re-implementation of the RepNet model, we can achieve superhuman performance in scoring competitive speed jump rope events and even run our model in real-time on an iPhone. See demo here: NextJump and download our training app here: NextJump iOS App 
Leading the software subteam for Case Western’s robotics team, CWRUbotix, in our entry into NASA’s annual robotic mining competition.
While jump rope is one of the most physically accessible sports in the world, there exist very few resources for learning advanced skills, especially those needed to compete at an international level. I developed a simple video dictionary of hundreds of skills from basics to impossible which has reached tens of thousands of users across over 60 different countries. 
A Python package currently in development for combining, benchmarking, and extending methods of embedding, clustering, and visualizing single-cell Hi-C data. 
By training a custom RepNet on jump rope videos we can accurately count competitive events. We extend this further by getting our model to run in realtime on iOS devices. This leads to the NextJump app for training jump rope. Download the app here: NextJump App 