Machine Learning Club at UVA

A University of Virginia CIO educating future academics and industry professionals in the field of Machine Learning, and having a little fun while doing it.

Workshops

As part of our outreach initiatives, we give workshops about once or twice a month to educate the UVA community on machine learning tactics and techniques. Our theme for Fall 2019 / Spring 2020 is classification techniques and convolutional neural networks.

Guest Speakers

To promote awareness in the field, we have experts from the industry come and speak to students to talk about their research and the field at large.

Projects

Most of our meetings are project-based meetings, where the groups get together and work on side projects. Check out our projects down below.

Our Current Projects

We have a well rounded portfolio of projects this year, ranging in fields like real-time object detection to self driving cars to even educational initiatives.

AWS DeepRacer

We can't afford a full-size autonomous vehicle, so we bought one about 1/18th the size instead. We'll be using reinforcement learning to create our very own self driving car!

Sustainable Waste Disposal

Using a TPU given to us by the Sustainability department at UVA, we're building a waste-disposal system that can detect the type of waste you're throwing away, and automatically redirect it into the right bin!

Get in touch

Want to work with us? We're best reached by emailing one our executives, listed down below.

  • Co-President | Dylan Fernandes - dkf5gz@virginia.edu
  • Co-President | Jake Grigsby - jcg6dn@virginia.edu
  • Vice President | Brian Yu - bry4xm@virginia.edu
  • Executive Board | Atishay Kasera - ak4kgk@virginia.edu

Although this organization has members who are University of Virginia students and may have University employees associated or engaged in its activities and affairs, the organization is not a part of or an agency of the University. It is a separate and independent organization which is responsible for and manages its own activities and affairs. The University does not direct, supervise or control the organization and is not responsible for the organization’s contracts, acts or omissions.