Autoencoders that can dance with you - Made with TensorFlow.js

Mariel Pette brought her passions for machine learning and arts together to create Beyond Imitation, an open-source tool for movement-based research. She uses dance and a motion capture studio to train a variational autoencoder (VAE) model that can run in the browser via TensorFlow.js. This ML model then learns to generate new movements in the same style as the dancer that compliments their movements. She shares how the idea came to life and the future endeavors for the project.

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