- Toronto, Canada
- https://www.cs.toronto.edu/~jlucas/
- @james_r_lucas
Highlights
- Pro
Stars
A curated list of awesome Machine Learning frameworks, libraries and software.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Riemannian Adaptive Optimization Methods with pytorch optim
Robust evasion attacks against neural network to find adversarial examples
A method for training neural networks that are provably robust to adversarial attacks.
Mode Connectivity and Fast Geometric Ensembles in PyTorch
A minimalist SDK for developing skills for the Amazon Echo's ASK - Alexa Skills Kit using Amazon Web Services's Python Lambda Functions. Currently supported profiles are for Linux servers and AWS L…
Implementation for the Lookahead Optimizer.
Cluttered Omniglot dataset and models
Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317
Supplement code to our ICML 2021 paper