yaringal

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

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

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

CLGP. Categorical Latent Gaussian Process

keras. Python

pytorch-practice. Some example scripts on pytorch

cambridge-beamer. This is a presentation template with the colour scheme of the University of Cambridge

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