Index A | B | C | D | E | F | G | I | J | K | L | M | N | P | R | S | U A add() (fastbnns.bnn.types.MuVar method) add_() (fastbnns.bnn.types.MuVar method) add_read_noise() (in module fastbnns.simulation.observation) addcmul() (fastbnns.bnn.types.MuVar method) alpha (fastbnns.models.activations.InverseTransformSampling property) apply() (fastbnns.bnn.types.MuVar method) apply_method() (fastbnns.bnn.types.MuVar method) AvgPool1d (class in fastbnns.bnn.inference) AvgPool2d (class in fastbnns.bnn.inference) AvgPool3d (class in fastbnns.bnn.inference) AvgPoolNd (class in fastbnns.bnn.inference) B BasicPropagator (class in fastbnns.bnn.inference) BayesianModule (class in fastbnns.bnn.wrappers) BayesianModuleBase (class in fastbnns.bnn.wrappers) beta (fastbnns.bnn.losses.BNNLoss property) (fastbnns.bnn.losses.ELBO property) BNN (class in fastbnns.bnn.base) bnn_params_from_laplace() (in module fastbnns.bnn.base) BNNLoss (class in fastbnns.bnn.losses) BroadcastModule (class in fastbnns.bnn.wrappers) C CNN (class in fastbnns.models.cnn) compute_coverage() (in module fastbnns.analysis.statistics) compute_kl_divergence() (fastbnns.bnn.wrappers.BayesianModule method) (fastbnns.bnn.wrappers.BayesianModuleBase method) Conv1d (class in fastbnns.bnn.inference) Conv2d (class in fastbnns.bnn.inference) Conv3d (class in fastbnns.bnn.inference) convert_to_bnn_() (in module fastbnns.bnn.wrappers) convert_to_nn() (in module fastbnns.bnn.wrappers) ConvNd (class in fastbnns.bnn.inference) ConvTranspose1d (class in fastbnns.bnn.inference) ConvTranspose2d (class in fastbnns.bnn.inference) ConvTranspose3d (class in fastbnns.bnn.inference) ConvTransposeNd (class in fastbnns.bnn.inference) D Distribution (class in fastbnns.bnn.priors) distribution (fastbnns.bnn.priors.Distribution property) (fastbnns.bnn.priors.SpikeSlab property) div() (fastbnns.bnn.types.MuVar method) E ELBO (class in fastbnns.bnn.losses) F fastbnns module fastbnns.analysis module fastbnns.analysis.statistics module fastbnns.bnn module fastbnns.bnn.base module fastbnns.bnn.inference module fastbnns.bnn.losses module fastbnns.bnn.priors module fastbnns.bnn.types module fastbnns.bnn.wrappers module fastbnns.datasets module fastbnns.datasets.generic module fastbnns.datasets.polynomial module fastbnns.models module fastbnns.models.activations module fastbnns.models.cnn module fastbnns.models.mlp module fastbnns.models.polynomial module fastbnns.simulation module fastbnns.simulation.generators module fastbnns.simulation.observation module fastbnns.simulation.polynomials module fastbnns.utils module fastbnns.utils.torch_utils module forward() (fastbnns.bnn.base.BNN method) (fastbnns.bnn.inference.AvgPoolNd method) (fastbnns.bnn.inference.BasicPropagator method) (fastbnns.bnn.inference.ConvNd method) (fastbnns.bnn.inference.ConvTransposeNd method) (fastbnns.bnn.inference.JointUnscentedTransform method) (fastbnns.bnn.inference.LeakyReLUa method) (fastbnns.bnn.inference.Linear method) (fastbnns.bnn.inference.MomentPropagator method) (fastbnns.bnn.inference.MonteCarlo method) (fastbnns.bnn.inference.ReLUa method) (fastbnns.bnn.inference.UnscentedTransform method) (fastbnns.bnn.losses.ELBO method) (fastbnns.bnn.losses.KLDivergence method) (fastbnns.bnn.wrappers.BayesianModule method) (fastbnns.bnn.wrappers.BayesianModuleBase method) (fastbnns.bnn.wrappers.BroadcastModule method) (fastbnns.models.activations.InverseTransformSampling method) (fastbnns.models.cnn.CNN method) (fastbnns.models.mlp.MLP method) (fastbnns.models.polynomial.PolyModule method) (fastbnns.simulation.generators.Generator method) (fastbnns.simulation.observation.NoiseTransform method) functional() (fastbnns.bnn.inference.AvgPool1d method) (fastbnns.bnn.inference.AvgPool2d method) (fastbnns.bnn.inference.AvgPool3d method) (fastbnns.bnn.inference.Conv1d method) (fastbnns.bnn.inference.Conv2d method) (fastbnns.bnn.inference.Conv3d method) (fastbnns.bnn.inference.ConvTranspose1d method) (fastbnns.bnn.inference.ConvTranspose2d method) (fastbnns.bnn.inference.ConvTranspose3d method) (fastbnns.bnn.inference.Linear method) G Generator (class in fastbnns.simulation.generators) get_named_sampler() (fastbnns.bnn.wrappers.BayesianModule method) I implements() (in module fastbnns.bnn.types) InverseTransformSampling (class in fastbnns.models.activations) isolate_leaf_module_names() (in module fastbnns.bnn.wrappers) J JointUnscentedTransform (class in fastbnns.bnn.inference) K kl_divergence (fastbnns.bnn.losses.BNNLoss property) (fastbnns.bnn.losses.ELBO property) kl_divergence_sampled() (in module fastbnns.bnn.losses) KLDivergence (class in fastbnns.bnn.losses) L laplace_init() (fastbnns.bnn.base.BNN method) LeakyReLUa (class in fastbnns.bnn.inference) learn_var (fastbnns.bnn.wrappers.BayesianModule property) (fastbnns.bnn.wrappers.BayesianModuleBase property) Linear (class in fastbnns.bnn.inference) log_prob() (fastbnns.bnn.priors.Distribution method) M mean() (fastbnns.bnn.types.MuVar method) MLP (class in fastbnns.models.mlp) module fastbnns fastbnns.analysis fastbnns.analysis.statistics fastbnns.bnn fastbnns.bnn.base fastbnns.bnn.inference fastbnns.bnn.losses fastbnns.bnn.priors fastbnns.bnn.types fastbnns.bnn.wrappers fastbnns.datasets fastbnns.datasets.generic fastbnns.datasets.polynomial fastbnns.models fastbnns.models.activations fastbnns.models.cnn fastbnns.models.mlp fastbnns.models.polynomial fastbnns.simulation fastbnns.simulation.generators fastbnns.simulation.observation fastbnns.simulation.polynomials fastbnns.utils fastbnns.utils.torch_utils module (fastbnns.bnn.wrappers.BayesianModule property) (fastbnns.bnn.wrappers.BayesianModuleBase property) module_map (fastbnns.bnn.wrappers.BayesianModule property) (fastbnns.bnn.wrappers.BayesianModuleBase property) module_params (fastbnns.bnn.wrappers.BayesianModule property) (fastbnns.bnn.wrappers.BayesianModuleBase property) moment_propagator (fastbnns.bnn.wrappers.BayesianModule property) (fastbnns.bnn.wrappers.BayesianModuleBase property) MomentPropagator (class in fastbnns.bnn.inference) MonteCarlo (class in fastbnns.bnn.inference) mul() (fastbnns.bnn.types.MuVar method) MuVar (class in fastbnns.bnn.types) muvar_avg_pool() (in module fastbnns.bnn.types) muvar_dropout() (in module fastbnns.bnn.types) N n_dim (fastbnns.bnn.inference.AvgPool1d attribute) (fastbnns.bnn.inference.AvgPool2d attribute) (fastbnns.bnn.inference.AvgPool3d attribute) named_parameters_tagged() (fastbnns.bnn.base.BNN method) neg_log_likelihood (fastbnns.bnn.losses.BNNLoss property) (fastbnns.bnn.losses.ELBO property) NoiseTransform (class in fastbnns.simulation.observation) num_spatial_dims (fastbnns.bnn.inference.ConvTranspose1d attribute) (fastbnns.bnn.inference.ConvTranspose2d attribute) (fastbnns.bnn.inference.ConvTranspose3d attribute) numel() (fastbnns.bnn.types.MuVar method) P PolyModule (class in fastbnns.models.polynomial) Polynomial (class in fastbnns.datasets.polynomial) polynomial() (in module fastbnns.simulation.polynomials) pow() (fastbnns.bnn.types.MuVar method) R ReLUa (class in fastbnns.bnn.inference) reset_parameters() (fastbnns.bnn.wrappers.BayesianModule method) S sample() (fastbnns.bnn.priors.Distribution method) sample_simulator() (in module fastbnns.simulation.generators) samplers (fastbnns.bnn.wrappers.BayesianModule property) scale_tform() (fastbnns.bnn.wrappers.BayesianModuleBase method) scale_tform_inv() (fastbnns.bnn.wrappers.BayesianModuleBase method) scaled_sigmoid() (in module fastbnns.models.activations) select_default_propagator() (in module fastbnns.bnn.wrappers) sensor_noise() (in module fastbnns.simulation.observation) set_requires_grad_() (in module fastbnns.utils.torch_utils) SimulatedData (class in fastbnns.datasets.generic) SpikeSlab (class in fastbnns.bnn.priors) sub() (fastbnns.bnn.types.MuVar method) sub_() (fastbnns.bnn.types.MuVar method) U UnscentedTransform (class in fastbnns.bnn.inference)