All modules for which code is available
- abc
- pyoed.assimilation.assimilation_utils
- pyoed.assimilation.core.assimilation
- pyoed.assimilation.core.filtering
- pyoed.assimilation.core.goal_oriented
- pyoed.assimilation.core.smoothing
- pyoed.assimilation.extras.reduced_order_modeling
- pyoed.assimilation.filtering.complex_kalman
- pyoed.assimilation.filtering.kalman
- pyoed.assimilation.filtering.threeDVar
- pyoed.assimilation.goal_oriented.linear_inverse_problem
- pyoed.assimilation.goal_oriented.prediction_operators.fenics_prediction_operators
- pyoed.assimilation.smoothing.fourDVar
- pyoed.configs.configs
- pyoed.examples.assimilation.fourDVar
- pyoed.examples.assimilation.goal_oriented_fourDVar
- pyoed.examples.assimilation.threeDVar
- pyoed.examples.oed.OED_AD_FE
- pyoed.examples.oed.relaxed_oed
- pyoed.examples.oed.robust_oed.robust_oed
- pyoed.examples.oed.stochastic_binary_oed
- pyoed.examples.starters.creators
- pyoed.examples.starters.toy_linear
- pyoed.examples.starters.toy_nonlinear
- pyoed.examples.starters.toy_quark
- pyoed.examples.stats.sampling
- pyoed.ml.reinforcement_learning
- pyoed.models.core.error_models
- pyoed.models.core.observation_operators
- pyoed.models.core.simulation_models
- pyoed.models.error_models.Gaussian.Gaussian
- pyoed.models.error_models.Gaussian._Gaussian
- pyoed.models.error_models.Gaussian._fenics_Gaussian
- pyoed.models.error_models.Gaussian._weighted_Gaussian_pointwise
- pyoed.models.error_models.Gaussian._weighted_Gaussian_prepost
- pyoed.models.error_models.Laplacian
- pyoed.models.observation_operators.fenics_observation_operators
- pyoed.models.observation_operators.identity
- pyoed.models.observation_operators.interpolation
- pyoed.models.observation_operators.power
- pyoed.models.simulation_models.advection_diffusion
- pyoed.models.simulation_models.bateman_burgers
- pyoed.models.simulation_models.black_box
- pyoed.models.simulation_models.fenics_models.advection_diffusion
- pyoed.models.simulation_models.fenics_models.subsurf
- pyoed.models.simulation_models.imaging
- pyoed.models.simulation_models.lorenz
- pyoed.models.simulation_models.toy_linear
- pyoed.models.simulation_models.toy_quark
- pyoed.oed.common.successive_laplace_oed
- pyoed.oed.core.inversion_oed
- pyoed.oed.core.oed
- pyoed.oed.core.protocols
- pyoed.oed.core.robust_oed
- pyoed.oed.core.sensor_placement_oed
- pyoed.oed.core.utility_functions
- pyoed.oed.robust_oed.robust_oed
- pyoed.oed.sensor_placement.sensor_placement_bayesian_oed
- pyoed.oed.utility_functions.alphabetic_criteria.a_opt.bayesian_a_opt
- pyoed.oed.utility_functions.alphabetic_criteria.a_opt.relaxed_bayesian_a_opt
- pyoed.oed.utility_functions.alphabetic_criteria.a_opt.robust_bayesian_a_opt
- pyoed.oed.utility_functions.alphabetic_criteria.d_opt.bayesian_d_opt
- pyoed.oed.utility_functions.alphabetic_criteria.d_opt.relaxed_bayesian_d_opt
- pyoed.oed.utility_functions.alphabetic_criteria.d_opt.robust_bayesian_d_opt
- pyoed.oed.utility_functions.information_criteria.eig
- pyoed.oed.utility_functions.information_criteria.kl_divergence
- pyoed.optimization.binary_optimization.constrained_binary_optimization
- pyoed.optimization.binary_optimization.greedy_binary_optimization
- pyoed.optimization.binary_optimization.robust_binary_optimization
- pyoed.optimization.binary_optimization.robust_constrained_binary_optimization
- pyoed.optimization.binary_optimization.stochastic_binary_optimization
- pyoed.optimization.core.optimizers
- pyoed.optimization.core.test_functions
- pyoed.optimization.optimization_utils
- pyoed.optimization.scipy_optimization
- pyoed.optimization.test_functions.binary_test_functions
- pyoed.stats.core.distributions
- pyoed.stats.core.sampling
- pyoed.stats.distributions.bernoulli
- pyoed.stats.distributions.combinatorics
- pyoed.stats.distributions.conditional_bernoulli
- pyoed.stats.distributions.poisson_binomial
- pyoed.stats.sampling.mcmc
- pyoed.stats.sampling.proposals
- pyoed.stats.sampling.rejection
- pyoed.utility.math
- pyoed.utility.misc
- pyoed.utility.mixins
- pyoed.utility.plot
- pyoed.utility.stats
- typing