rfeinman

pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

detecting-adversarial-samples

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

pyBPL

Python implementation of Bayesian Program Learning tools (with PyTorch)

pytorch-lasso

L1-regularized least squares with PyTorch

tictactoe-reinforcement-learning

Train a tic-tac-toe agent using reinforcement learning.

GNS-Modeling

Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)

learning-to-learn

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

Torch-ARPACK

Fast extremal eigensolvers for PyTorch.

binocular-disparity

Computing Binocular Disparity using CNNs and CRFs. TensorFlow backend.

SK-regularization

Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)

Sketch-RNN

A faithful PyTorch implementation of Sketch-RNN (Ha & Eck, 2017)

cleverhans

A library for benchmarking vulnerability to adversarial examples

rfeinman.github.io

science_rcn

Reference implementation of a two-level RCN model

visual-turing-tests

Javascript code for "visual Turing tests"

zero123plus

Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.