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pretrained_models
pretrained_models
 
 
GIBBON_for_efficient_batch_entropy_search.ipynb
GIBBON_for_efficient_batch_entropy_search.ipynb
 
 
README.md
README.md
 
 
batch_mode_cross_validation.ipynb
batch_mode_cross_validation.ipynb
 
 
bo_with_warped_gp.ipynb
bo_with_warped_gp.ipynb
 
 
closed_loop_botorch_only.ipynb
closed_loop_botorch_only.ipynb
 
 
compare_mc_analytic_acquisition.ipynb
compare_mc_analytic_acquisition.ipynb
 
 
composite_bo_with_hogp.ipynb
composite_bo_with_hogp.ipynb
 
 
composite_mtbo.ipynb
composite_mtbo.ipynb
 
 
constrained_multi_objective_bo.ipynb
constrained_multi_objective_bo.ipynb
 
 
custom_acquisition.ipynb
custom_acquisition.ipynb
 
 
custom_botorch_model_in_ax.ipynb
custom_botorch_model_in_ax.ipynb
 
 
discrete_multi_fidelity_bo.ipynb
discrete_multi_fidelity_bo.ipynb
 
 
fit_model_with_torch_optimizer.ipynb
fit_model_with_torch_optimizer.ipynb
 
 
max_value_entropy.ipynb
max_value_entropy.ipynb
 
 
meta_learning_with_rgpe.ipynb
meta_learning_with_rgpe.ipynb
 
 
multi_fidelity_bo.ipynb
multi_fidelity_bo.ipynb
 
 
multi_objective_bo.ipynb
multi_objective_bo.ipynb
 
 
one_shot_kg.ipynb
one_shot_kg.ipynb
 
 
optimize_stochastic.ipynb
optimize_stochastic.ipynb
 
 
optimize_with_cmaes.ipynb
optimize_with_cmaes.ipynb
 
 
preference_bo.ipynb
preference_bo.ipynb
 
 
risk_averse_bo_with_environmental_variables.ipynb
risk_averse_bo_with_environmental_variables.ipynb
 
 
risk_averse_bo_with_input_perturbations.ipynb
risk_averse_bo_with_input_perturbations.ipynb
 
 
thompson_sampling.ipynb
thompson_sampling.ipynb
 
 
turbo_1.ipynb
turbo_1.ipynb
 
 
vae_mnist.ipynb
vae_mnist.ipynb
 
 

README.md

This folder contains Jupyter tutorial notebooks. These notebooks are also parsed and embedded into the botorch website.