joebud

adversarial-jets

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

covid-19-analyses

Simulating COVID-19 projections for various scenarios and countries.

covid-19-sim

covid19-forecast-hub

Projections of COVID-19, in standardized format

covid19-forecast-hub-europe

European Covid-19 Forecast Hub.

covid19-scenario-hub-europe

European Covid-19 Scenario Hub.

DATA-SCIENCE-BOWL-2018

DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery

DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

EUNN-tensorflow

Efficient Unitary Neural Network(EUNN) implementation in tensorflow

gaugenet-info

higgs-susy

Python code to replicate the results on HIGGS and SUSY benchmarks using pylearn2 and theano.

joebud.github.io

Physicist and Data Scientist

keras

Deep Learning for humans

loss-landscape

Code for visualizing the loss landscape of neural nets

models

Models and examples built with TensorFlow

neuroscape-info

OpenFermion

OpenFermion: The Electronic Structure Package For Quantum Computers.

ProjectQ

ProjectQ: An open source software framework for quantum computing

RoBO

RoBO: a Robust Bayesian Optimization framework

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

voila-ex