yaringal/CLGP

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16
Rank 1,311,288 (Top 26 %)
Language
Python
Created about 10 years ago
Updated over 9 years ago

yaringal/CLGP

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Categorical Latent Gaussian Process

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

acquisition_example

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

Jupyter Notebook