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adaptivemcmc

causalbayesianoptimization

Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)

dag-gp

Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)

dcbo

Dynamic causal Bayesian optimisation

gpflow

Gaussian processes in TensorFlow

linear_operator

A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch

mcmcforgp

MCMC code for scalable inference in LGCP

mcpm

An implementation of the model described in "Efficient Inference in Multi-task Cox Process Models".

mmd-critic

pmcmc

Particle MCMC

rff-reservoir

Better reservoir sampling, using random Fourier features

stvb

An implementation of the model described in "Structured Variational Inference in Continuous Cox Process Models".

tensorflow

Computation using data flow graphs for scalable machine learning

updated_autogp

Repository AutoGP updated to run with tensorflow 1.0

v_savigp

Virgi's modifications of the savigp repository

virgiagl.github.io

Website