Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[P] Robustness: a library for training and experimenting with standard and robust training

Hi all,

Robustness is a library we made for use in our research that has evolved over several projects we have used it in. The result is a library for standard and robust (adversarial) training that is designed to be super extendible/customizable with very minimal effort. For example, the library allows us to train networks with custom loss functions, adversaries, logging, data loaders, etc, and also to perform a variety of input manipulation tasks using pretrained networks. Finally we provide a CLI interface for training standard and robust models.

Code is here: https://github.com/MadryLab/robustness

Full documentation, walkthroughs, and examples are here: https://robustness.readthedocs.io/

submitted by /u/andrew_ilyas
[link] [comments]