Discover @yaringal Open Source projects

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yaringal

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multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

Jupyter Notebook

DropoutUncertaintyExps

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

BayesianRNN

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

ConcreteDropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Jupyter Notebook

DropoutUncertaintyCaffeModels

Dropout As A Bayesian Approximation: Code

HeteroscedasticDropoutUncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.

DropoutUncertaintyDemos

What My Deep Model Doesn't Know...

VSSGP

Variational Sparse Spectrum Gaussian Process toolkit

CLGP

Categorical Latent Gaussian Process

acquisition_example

Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function

Jupyter Notebook