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bo_tutorials_botorch

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

bopc

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

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.

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.

simplex_bo_transform_experiments

Experiments of the simplex BO transformation on Pytorch

spearmint

Spearmint Bayesian optimization codebase

spearmint_many_obj

spearmint_ppesmoc

Parallel version of PESMOC.

tutorials_data_science

upm_summer_schoo

GPs and BO notebooks

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.