A convolutional neural network for classifying gravitational-wave glitches from gravitational-wave detectors such as LIGO, Virgo or KAGRA. The intention of this is to train on LIGO glitches and test on MLy glitches. One motivation for this is to have a glitch classification feature added to MLy's functionality.
- Evolve the model into autoencoder-based anomaly detection