WOODS
WOODS is a project aimed at investigating the implications of Out-of-Distribution generalization problems in sequential data along with it’s possible solution. To that goal, we offer a DomainBed-like suite to test domain generalization algorithms on our WILDS-like set of sequential data benchmarks inspired from real world problems of a wide array of common modalities in modern machine learning.
Getting started:
API Documentation
Library
Set of functions used to launch lists of python scripts |