All modules for which code is available

• queens.data_processors.csv_file
• queens.data_processors.ensight_file
• queens.data_processors.numpy_file
• queens.data_processors.pvd_file
• queens.data_processors.txt_file
• queens.distributions.bernoulli
• queens.distributions.beta
• queens.distributions.categorical
• queens.distributions.exponential
• queens.distributions.free_variable
• queens.distributions.lognormal
• queens.distributions.mean_field_normal
• queens.distributions.mixture
• queens.distributions.multinomial
• queens.distributions.normal
• queens.distributions.particle
• queens.distributions.uniform
• queens.distributions.uniform_discrete
• queens.drivers.fourc
• queens.drivers.function
• queens.drivers.jobscript
• queens.drivers.mpi
• queens.example_simulator_functions
• queens.example_simulator_functions.agawal09
• queens.example_simulator_functions.borehole83
• queens.example_simulator_functions.branin78
• queens.example_simulator_functions.currin88
• queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients
• queens.example_simulator_functions.gardner14a
• queens.example_simulator_functions.gaussian_logpdf
• queens.example_simulator_functions.gaussian_mixture_logpdf
• queens.example_simulator_functions.ishigami90
• queens.example_simulator_functions.ma09
• queens.example_simulator_functions.oakley_ohagan04
• queens.example_simulator_functions.parabola_residual
• queens.example_simulator_functions.paraboloid
• queens.example_simulator_functions.park91a
• queens.example_simulator_functions.park91b
• queens.example_simulator_functions.perdikaris17
• queens.example_simulator_functions.rezende15
• queens.example_simulator_functions.rosenbrock60
• queens.example_simulator_functions.sinus
• queens.example_simulator_functions.sobol_g_function
• queens.external_geometries.fourc_dat
• queens.global_settings
• queens.iterators.adaptive_sampling
• queens.iterators.bbvi
• queens.iterators.bmfia
• queens.iterators.bmfmc
• queens.iterators.classification
• queens.iterators.control_variates
• queens.iterators.data
• queens.iterators.elementary_effects
• queens.iterators.grid
• queens.iterators.hamiltonian_monte_carlo
• queens.iterators.latin_hypercube_sampling
• queens.iterators.least_squares
• queens.iterators.metropolis_hastings
• queens.iterators.metropolis_hastings_pymc
• queens.iterators.mlmc
• queens.iterators.monte_carlo
• queens.iterators.nuts
• queens.iterators.optimization
• queens.iterators.points
• queens.iterators.polynomial_chaos
• queens.iterators.reinforcement_learning
• queens.iterators.reparameteriztion_based_variational
• queens.iterators.sequential_monte_carlo
• queens.iterators.sequential_monte_carlo_chopin
• queens.iterators.sobol_index
• queens.iterators.sobol_index_gp_uncertainty
• queens.iterators.sobol_index_gp_uncertainty_utils.estimator
• queens.iterators.sobol_index_gp_uncertainty_utils.predictor
• queens.iterators.sobol_index_gp_uncertainty_utils.sampler
• queens.iterators.sobol_index_gp_uncertainty_utils.statistics
• queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices
• queens.iterators.sobol_sequence
• queens.main
• queens.models.adjoint
• queens.models.bmfmc
• queens.models.finite_difference
• queens.models.likelihoods.bmf_gaussian
• queens.models.likelihoods.gaussian
• queens.models.logpdf_gp
• queens.models.reinforcement_learning.reinforcement_learning
• queens.models.reinforcement_learning.utils.gymnasium
• queens.models.reinforcement_learning.utils.stable_baselines3
• queens.models.simulation
• queens.models.surrogates.bayesian_neural_network
• queens.models.surrogates.gaussian_neural_network
• queens.models.surrogates.gaussian_process
• queens.models.surrogates.heteroskedastic_gaussian_process
• queens.models.surrogates.jitted_gaussian_process
• queens.models.surrogates.utils.kernel_jitted
• queens.models.surrogates.variational_gaussian_process
• queens.parameters.parameters
• queens.parameters.random_fields.fourier
• queens.parameters.random_fields.karhunen_loeve
• queens.parameters.random_fields.piece_wise
• queens.schedulers.cluster
• queens.schedulers.local
• queens.schedulers.pool
• queens.stochastic_optimizers.adam
• queens.stochastic_optimizers.adamax
• queens.stochastic_optimizers.learning_rate_decay
• queens.stochastic_optimizers.rms_prop
• queens.stochastic_optimizers.sgd
• queens.utils.ascii_art
• queens.utils.classifier
• queens.utils.cli
• queens.utils.collection
• queens.utils.config_directories
• queens.utils.configure_tensorflow
• queens.utils.exceptions
• queens.utils.experimental_data_reader
• queens.utils.fd_jacobian
• queens.utils.from_config_create
• queens.utils.gpflow_transformations
• queens.utils.imports
• queens.utils.injector
• queens.utils.input_to_script
• queens.utils.io
• queens.utils.iterative_averaging
• queens.utils.jax_minimize_wrapper
• queens.utils.logger_settings
• queens.utils.mcmc
• queens.utils.metadata
• queens.utils.numpy_array
• queens.utils.numpy_linalg
• queens.utils.path
• queens.utils.pdf_estimation
• queens.utils.plot_outputs
• queens.utils.pool
• queens.utils.printing
• queens.utils.process_outputs
• queens.utils.random_process_scaler
• queens.utils.remote_operations
• queens.utils.rsync
• queens.utils.run_subprocess
• queens.utils.sequential_monte_carlo
• queens.utils.sobol_sequence
• queens.utils.start_dask_cluster
• queens.utils.valid_options
• queens.variational_distributions.full_rank_normal
• queens.variational_distributions.joint
• queens.variational_distributions.mean_field_normal
• queens.variational_distributions.mixture_model
• queens.variational_distributions.particle
• queens.visualization.bmfia_visualization
• queens.visualization.bmfmc_visualization
• queens.visualization.classification
• queens.visualization.gaussian_neural_network_vis
• queens.visualization.gnuplot_vis
• queens.visualization.grid_iterator_visualization
• queens.visualization.sa_visualization
• queens.visualization.surrogate_visualization
• queens.visualization.variational_inference_visualization