GitLab

Suggested list of medium-term (6-9 months) objectives for Ketos:

1. Publish a peer-reviewed paper on Ketos
2. Transfer learning module
3. Active learning module
4. Tensorflow graph computation of spectrograms
5. New neural network architectures:
   • Sequence model
   • Similarity model (e.g. Siamese network)
6. Rewamp/improve the html docs (style and structure)
7. Review all tutorials, and add new ones as needed (Ketos has many new functionalities not covered in the existing tutorials)
8. Neural net calibration (i.e. calibrate output scores so they correspond more closely to probabilities/confidences)

@fsfrazao , @bpadovese , @sadman , please chime in with your thoughts (no rush). The above list is probably too ambitious, so it would be helpful to assign priorities.

I have made this issue confidential (only visible to team members with a least Reporter access), but we could consider opening it up to more people to solicit user inputs?).

Have a nice weekend everyone, Oliver