Reuben Feinman

pytorch-minimize. Newton and Quasi-Newton optimization with PyTorch

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

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

pyBPL. Python implementation of Bayesian Program Learning tools (with PyTorch)

pytorch-lasso. L1-regularized least squares with PyTorch

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)

rfeinman.github.io. SCSS