Research data management in biomedical and machine learning applications

On Minimax Optimality of GANs for Robust Mean Estimation

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

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

LaTeX style for Python highlighting

PyTorch implementations of Generative Adversarial Networks.

GPU Accelerated t-SNE for CUDA with Python bindings

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Evaluating quality of dimensionality reduction map with Wasserstein distances

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

A certifiable defense against adversarial examples by training neural networks to be provably robust

Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang

Pool-based active learning in Python

Robust evasion attacks against neural network to find adversarial examples

StarCraft II Learning Environment

Experiments for cross-propagation

CodiMD - Realtime collaborative markdown notes on all platforms.

Python Implementation of Reinforcement Learning: An Introduction

Github repository associated with Toronto Probabilistic Programming meetup

Implementations of selected inverse reinforcement learning algorithms.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Deep Learning for humans

a fully-differentiable graphical raytracer

Deep Learning framework for Julia

Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)

Theano-based Alexnet