Dogfood AME on a non trivial project
jmintb opened this issue · 0 comments
jmintb commented
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.