SID.METHIL//Hexager // RSRCH

MISSION LOGS

Selected research artifacts, engineering projects, and experiments.

A Framework for Data-Efficient GANs Using Synergistic Regularization
completed
[experiment] ID_001

A Framework for Data-Efficient GANs Using Synergistic Regularization

A project I formed using ideas from the Deceive D and Augmentation Aware Self Supervision Papers

PyTorch Python