A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Visualizations for machine learning datasets

GNU Radio decoder for Amateur satellites

Code for "High-Precision Model-Agnostic Explanations" paper

Use evolutionary algorithms instead of gridsearch in scikit-learn

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Style Transfer as Optimal Transport

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

A small tutorial about performing adversarial attacks in PyTorch

Playing around with reiinakano/neural-painters examples