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Dogfood AME on a non trivial project #166

Description

@jmintb

To test AME in a realistic setting before the first release we should build an ML project using AME. Ideally this should be done in a remote deployment in GCP with mixed CPU and GPU workflows. Implementing a simple image classifier based on stream recordings seems like the best option at the moment.

Acceptance criteria:

  • There is a public repository using AME
  • The project is non trivial
  • The project uses the complete range of features AME as to offer.
  • (Optional) The project can be displayed to others.

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