EduardoGarrido90

high-dimensional-sampling

Framework for the high-dimensional sampling challenge of DarkMachines.org

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

GPInputNoise

Multi-class Gaussian Process Classification with Noisy Inputs

omnius

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

Spearmint

Spearmint Bayesian optimization codebase

spearmint_ppesmoc

Parallel version of PESMOC.

tutorials_data_science

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.

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.

EduardoGarrido90/bo_tutorials_botorch

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

EduardoGarrido90/Spearmint

Spearmint Bayesian optimization codebase

EduardoGarrido90/spearmint_ppesmoc

Parallel version of PESMOC.

EduardoGarrido90/bopc

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

EduardoGarrido90/tutorials_data_science

EduardoGarrido90/botorch

Bayesian optimization in PyTorch

EduardoGarrido90/full_bio

BO full bio search optimization package

EduardoGarrido90/GPInputNoise

Multi-class Gaussian Process Classification with Noisy Inputs

EduardoGarrido90/iit_opt

Optimization of phi

EduardoGarrido90/omnius

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

EduardoGarrido90/simplex_BO_transform_experiments

Experiments of the simplex BO transformation on Pytorch

EduardoGarrido90/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.

EduardoGarrido90/spearmint_many_obj

EduardoGarrido90/UPM_summer_schoo

GPs and BO notebooks