Empirical tricks for training robust models (ICLR 2021)

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

NYU Deep Learning Spring 2020

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

a molecular descriptor calculator

ReSpeaker 4 Mic Array with builtin VAD, DOA, AEC, Beamforming & NS

Zounds is a dataflow library for building directed acyclic graphs that transform audio. It uses the featureflow library to define the processing pipelines.

Play with neural networks!

LazyProgrammer Udemy Course Content

JavaScript/TypeScript animation engine

Quality control methods for human genomic variants.

Common Java files for Google Genomics integrations.

Documentation for the Google Genomics cookbook.

Google Cloud Dataflow pipelines such as Identity-By-State as well as useful utility classes.