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Section Navigation

  • adapters
    • transforms
      • AsSet
      • AsTimeSeries
      • Broadcast
      • Concatenate
      • Constrain
      • ConvertDType
      • Drop
      • ElementwiseTransform
      • ExpandDims
      • FilterTransform
      • Group
      • Keep
      • Log
      • MapTransform
      • NanToNum
      • NumpyTransform
      • OneHot
      • RandomSubsample
      • Rename
      • Scale
      • SerializableCustomTransform
      • Shift
      • Split
      • Sqrt
      • Squeeze
      • Standardize
      • Take
      • ToArray
      • ToDict
      • Transform
      • Ungroup
    • Adapter
  • approximators
    • Approximator
    • ContinuousApproximator
    • EnsembleApproximator
    • ModelComparisonApproximator
    • RatioApproximator
    • ScoringRuleApproximator
  • augmentations
    • nnpe
      • NNPE
  • datasets
    • DiskDataset
    • EnsembleDataset
    • EnsembleIndexedDataset
    • EnsembleOnlineDataset
    • OfflineDataset
    • OnlineDataset
  • diagnostics
    • bootstrap_comparison
    • calibration_ecdf
    • calibration_ecdf_from_quantiles
    • calibration_error
    • calibration_histogram
    • calibration_log_gamma
    • correlation
    • loss
    • mc_calibration
    • mc_confusion_matrix
    • mmd_hypothesis_test
    • pairs_posterior
    • pairs_quantity
    • pairs_samples
    • plot_quantity
    • posterior_contraction
    • posterior_z_score
    • recovery
    • recovery_from_estimates
    • summary_space_comparison
    • z_score_contraction
  • distributions
    • DiagonalNormal
    • DiagonalStudentT
    • Distribution
    • Mixture
  • experimental
    • FreeFormFlow
  • links
    • CholeskyFactor
    • Ordered
    • OrderedQuantiles
    • PositiveDefinite
  • metrics
    • functional
      • maximum_mean_discrepancy
      • root_mean_squared_error
    • MaximumMeanDiscrepancy
    • RootMeanSquaredError
  • networks
    • inference
      • consistency
        • ConsistencyModel
        • StableConsistencyModel
      • coupling
        • CouplingFlow
      • diffusion
        • find_noise_schedule
        • CosineNoiseSchedule
        • DiffusionModel
        • EDMNoiseSchedule
        • NoiseSchedule
      • flow_matching
        • FlowMatching
      • inference_network
        • InferenceNetwork
      • scoring
        • scoring_rules
        • ScoringRuleNetwork
        • PointNetwork
    • summary
      • ConvolutionalNetwork
      • DeepSet
      • FusionNetwork
      • FusionTransformer
      • SetTransformer
      • SummaryNetwork
      • TimeSeriesNetwork
      • TimeSeriesTransformer
    • subnets
      • MLP
      • ResidualUViT
      • TimeMLP
      • UNet
      • UViT
    • defaults
  • scoring_rules
    • CrossEntropyScore
    • MeanScore
    • MedianScore
    • MvNormalScore
    • NormedDifferenceScore
    • ParametricDistributionScore
    • QuantileScore
    • ScoringRule
  • simulators
    • make_simulator
    • BernoulliGLM
    • BernoulliGLMRaw
    • GaussianLinear
    • GaussianLinearUniform
    • GaussianMixture
    • HierarchicalSimulator
    • InverseKinematics
    • LambdaSimulator
    • LotkaVolterra
    • ModelComparisonSimulator
    • SIR
    • SLCP
    • SLCPDistractors
    • SequentialSimulator
    • Simulator
    • TwoMoons
  • types
  • utils
    • keras_utils
      • inverse_shifted_softplus
      • inverse_softplus
      • shifted_softplus
    • logging
      • critical
      • debug
      • error
      • exception
      • format_duration
      • info
      • log
      • warn_once
      • warning
    • numpy_utils
      • credible_interval
      • inverse_shifted_softplus
      • inverse_sigmoid
      • inverse_softplus
      • one_hot
      • shifted_softplus
      • softplus
    • serialization
      • deserialize
      • deserialize_value_or_type
      • serializable
      • serialize
      • serialize_value_or_type
    • tree
      • flatten_shape
    • add_metric
    • add_titles_and_labels
    • batched_call
    • calibration_curve
    • check_estimates_prior_shapes
    • check_lengths_same
    • compute_empirical_coverage
    • concatenate_valid
    • concatenate_valid_shapes
    • confusion_matrix
    • convert_args
    • convert_kwargs
    • deserialize_value_or_type
    • detailed_loss_callback
    • devices
    • dim_maybe_nested
    • expand
    • expand_as
    • expand_left
    • expand_left_as
    • expand_left_to
    • expand_right
    • expand_right_as
    • expand_right_to
    • expand_tile
    • expand_to
    • fill_triangular_matrix
    • filter_kwargs
    • find_batch_size
    • find_distribution
    • find_inference_network
    • find_memory_budget
    • find_network
    • find_permutation
    • find_pooling
    • find_recurrent_net
    • find_summary_network
    • format_bytes
    • format_duration
    • integrate
    • integrate_stochastic
    • jacobian
    • jacobian_trace
    • jvp
    • layer_kwargs
    • make_quadratic
    • maybe_mask_tensor
    • model_kwargs
    • optimal_transport
    • pad
    • parse_bytes
    • pickle_load
    • positive_diag
    • prepare_plot_data
    • prettify_subplots
    • random_mask
    • randomly_mask_along_axis
    • searchsorted
    • sequential_kwargs
    • serialize_value_or_type
    • simultaneous_ecdf_bands
    • size_of
    • slice_maybe_nested
    • split_arrays
    • split_tensors
    • squeeze_inner_estimates_dict
    • stack_valid
    • tile_axis
    • tree_concatenate
    • tree_stack
    • vjp
    • weighted_mean
  • workflows
    • BasicWorkflow
    • EnsembleWorkflow
  • wrappers
    • mamba
      • mamba
        • Mamba
      • mamba_block
        • MambaBlock
  • API Reference
  • networks
  • inference

inference#

Generative neural networks for approximating conditional distributions.

Modules

consistency

coupling

diffusion

flow_matching

inference_network

scoring

previous

networks

next

consistency
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