yaringal

acquisition_example

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

BayesianRNN

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

CLGP

Categorical Latent Gaussian Process

ConcreteDropout

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

DropoutUncertaintyCaffeModels

Dropout As A Bayesian Approximation: Code

DropoutUncertaintyDemos

What My Deep Model Doesn't Know...

DropoutUncertaintyExps

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

HeteroscedasticDropoutUncertainty

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

multi-task-learning-example

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

VSSGP

Variational Sparse Spectrum Gaussian Process toolkit

yaringal/multi-task-learning-example

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

yaringal/DropoutUncertaintyExps

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

yaringal/BayesianRNN

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

yaringal/ConcreteDropout

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

yaringal/DropoutUncertaintyCaffeModels

Dropout As A Bayesian Approximation: Code

yaringal/HeteroscedasticDropoutUncertainty

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

yaringal/DropoutUncertaintyDemos

What My Deep Model Doesn't Know...

yaringal/VSSGP

Variational Sparse Spectrum Gaussian Process toolkit

yaringal/acquisition_example

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

yaringal/CLGP

Categorical Latent Gaussian Process

yaringal/keras

yaringal/pytorch-practice

Some example scripts on pytorch

yaringal/cambridge-beamer

This is a presentation template with the colour scheme of the University of Cambridge

yaringal/europilot

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

yaringal/caffe

Caffe: a fast open framework for deep learning.

yaringal/convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

yaringal/Giza-sharp

Giza# - a Giza++ extension

yaringal/worldmodels.github.io

World Models

yaringal/yaringal.github.io