Workshop / Overview

GitHub repo for the workshop: https://github.com/VisiumCH/AMLD2020-Dirty-Gancing

Does Tony Manero tremble in fear in front of your dancing skills? Were you moving your feet to the sweet sound of Footloose? Or is it the other way around and you dance with the grace of a mop? Fear not, Machine Learning to the rescue! 
Leveraging on the latest advances in the fields of Computer Vision & Generative Models, you’ll be able to make anyone move the way you want, even make them dance the Macarena.

Workshop / Outcome

  • Learn about implementing a pose detection model
  • Learn to map that representation on a target individual
  • Make anybody dance!
  • Reminder that ML is actually super fun :)

Workshop / Difficulty

Beginner level

Workshop / Prerequisites

  • Knowledge: None or basic coding skills
  • Equipement: Own computer

Track / Co-organizers

Axel Uran

Engagement Manager, Visium

Pelayo Choya

Machine Learning Engineer, Visium

Guillaume Mollard

Machine Learning Engineer, Visium

Thibault Calvayrac

Machine Learning Engineer, Visium

Gaétan Ramet

Project Manager & Machine Learning Engineer, Visium

Gianluca Mancini

Junior Machine Learning Engineer, Visium

AMLD EPFL 2020 / Workshops

A Conceptual Introduction to Reinforcement Learning

With Kevin Smeyers, Katrien Van Meulder & Bram Vandendriessche

09:00-12:30 January 251ABC

Applied ML with R

With Dirk Wulff, Markus Steiner & Michael Schulte-Mecklenbeck

09:00-17:00 January 25Foyer 6

Augmenting the Web browsing experience using machine learning

With Oleksandr Paraska, Vasily Kuznetsov, Tudor Avram & Levan Tsinadze

09:00-12:30 January 253A

AMLD / Global partners