bshahr

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Google DeepMind

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Bobak Shahriari's repositories

torch-dngo

Torch implementation of the Deep Network for Global Optimization (DNGO)

Language:Jupyter NotebookBSD-3-Clause51 30

spex

This repository is meant to facilitate running experiments with spearmint.

Language:Python3 40

crossvalidate

Perform parallelized cross-validation.

Language:Python2 20

acme

A library of reinforcement learning components and agents

Language:PythonApache-2.0010

demos

Demos and tutorials around Torch7.

Language:Lua020

dropout

A theano implementation of Hinton's dropout.

Language:PythonMIT020

scipy

Scipy main repository

Language:C++NOASSERTION020

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Language:Python020

variational

Fun with variational approximations

Language:Jupyter Notebook020