EduardoGarrido90

UPM_summer_school_GP_BO_course

Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.

bo_tutorials_botorch

BOTorch tutorials in Jupyter notebook format ready to be launched on Google Colab

Spearmint

Spearmint Bayesian optimization codebase

spearmint_ppesmoc

Parallel version of PESMOC.

bopc

Files for replicating experiments in "Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks"

tutorials_data_science

botorch

Bayesian optimization in PyTorch

full_bio

BO full bio search optimization package

GPInputNoise

Multi-class Gaussian Process Classification with Noisy Inputs

iit_opt

Optimization of phi

omnius

Probabilistic causal graphs (PCGs) Python-Prolog implementation and fake news classifier based in PCGs.

simplex_BO_transform_experiments

Experiments of the simplex BO transformation on Pytorch

rl-baselines3-zoo-botorch

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. In this repo, BOTorch will be included as an option for hyperparameter optimization.

spearmint_many_obj

UPM_summer_schoo

GPs and BO notebooks