Index

B

basespace_action (symm_learning.nn.conv.GSpace1D property)

C

Change2DisentangledBasis (class in symm_learning.nn.disentangled) check_equivariance() (symm_learning.models.IMLP method) (symm_learning.nn.conv.eConv1D method) (symm_learning.nn.distributions.EquivMultivariateNormal method) (symm_learning.nn.normalization.eBatchNorm1d method) (symm_learning.nn.normalization.eDataNorm method)

compute_character_table() (in module symm_learning.representation_theory) cov (symm_learning.nn.normalization.DataNorm property) cov() (in module symm_learning.stats) cplx_isotypic_decomposition() (in module symm_learning.representation_theory)

D

DataNorm (class in symm_learning.nn.normalization) decompose_representation() (in module symm_learning.representation_theory)

dim_after_conv() (symm_learning.nn.conv.eConv1D method) (symm_learning.nn.conv.eConvTranspose1D method)

E

eBatchNorm1d (class in symm_learning.nn.normalization) eConv1D (class in symm_learning.nn.conv) eConvTranspose1D (class in symm_learning.nn.conv) eDataNorm (class in symm_learning.nn.normalization) EMLP (class in symm_learning.models) EquivMultivariateNormal (class in symm_learning.nn.distributions) escnn_representation_form_mapping() (in module symm_learning.representation_theory) eTimeCNNEncoder (class in symm_learning.models) evaluate_output_shape() (symm_learning.models.EMLP method) (symm_learning.models.IMLP method) (symm_learning.nn.activations.Mish method) (symm_learning.nn.conv.eConv1D method) (symm_learning.nn.disentangled.Change2DisentangledBasis method) (symm_learning.nn.distributions.EquivMultivariateNormal method) (symm_learning.nn.normalization.eBatchNorm1d method) (symm_learning.nn.normalization.eDataNorm method) (symm_learning.nn.pooling.IrrepSubspaceNormPooling method) expand_bias() (symm_learning.nn.conv.eConv1D method)

expand_kernel() (symm_learning.nn.conv.eConv1D method) export() (symm_learning.models.EMLP method) (symm_learning.models.IMLP method) (symm_learning.nn.activations.Mish method) (symm_learning.nn.conv.eConv1D method) (symm_learning.nn.conv.eConvTranspose1D method) (symm_learning.nn.disentangled.Change2DisentangledBasis method) (symm_learning.nn.distributions.EquivMultivariateNormal method) (symm_learning.nn.normalization.eBatchNorm1d method) (symm_learning.nn.normalization.eDataNorm method), [1] (symm_learning.nn.pooling.IrrepSubspaceNormPooling method) extra_repr() (symm_learning.models.EMLP method) (symm_learning.nn.conv.eConv1D method) (symm_learning.nn.conv.eConvTranspose1D method) (symm_learning.nn.disentangled.Change2DisentangledBasis method) (symm_learning.nn.normalization.DataNorm method) (symm_learning.nn.normalization.eBatchNorm1d method) (symm_learning.nn.pooling.IrrepSubspaceNormPooling method)

F

field_type_to_isotypic_basis() (in module symm_learning.representation_theory) forward() (symm_learning.models.EMLP method) (symm_learning.models.eTimeCNNEncoder method) (symm_learning.models.IMLP method) (symm_learning.models.MLP method) (symm_learning.models.TimeCNNEncoder method) (symm_learning.nn.activations.Mish method) (symm_learning.nn.conv.eConv1D method) (symm_learning.nn.conv.eConvTranspose1D method) (symm_learning.nn.disentangled.Change2DisentangledBasis method) (symm_learning.nn.distributions.EquivMultivariateNormal method) (symm_learning.nn.normalization.DataNorm method) (symm_learning.nn.normalization.eBatchNorm1d method) (symm_learning.nn.normalization.eDataNorm method) (symm_learning.nn.pooling.IrrepSubspaceNormPooling method)

G

get_distribution() (symm_learning.nn.distributions.EquivMultivariateNormal method)

GSpace1D (class in symm_learning.nn.conv)

I

IMLP (class in symm_learning.models) invariant_orthogonal_projector() (in module symm_learning.linalg) irreps_stats() (in module symm_learning.representation_theory)

IrrepSubspaceNormPooling (class in symm_learning.nn.pooling) is_complex_irreducible() (in module symm_learning.representation_theory) isotypic_decomp_rep() (in module symm_learning.representation_theory) isotypic_signal2irreducible_subspaces() (in module symm_learning.linalg)

L

lstsq() (in module symm_learning.linalg)

M

map_character_tables() (in module symm_learning.representation_theory) mean (symm_learning.nn.normalization.DataNorm property) Mish (class in symm_learning.nn.activations) MLP (class in symm_learning.models) module symm_learning.linalg symm_learning.models symm_learning.nn.activations symm_learning.nn.conv symm_learning.nn.disentangled symm_learning.nn.distributions symm_learning.nn.normalization symm_learning.nn.pooling symm_learning.representation_theory symm_learning.stats

N

num_batches_tracked (symm_learning.nn.normalization.DataNorm attribute)

P

permutation_matrix() (in module symm_learning.representation_theory)

R

restrict() (symm_learning.nn.conv.GSpace1D method) running_cov (symm_learning.nn.normalization.DataNorm attribute)

running_mean (symm_learning.nn.normalization.DataNorm attribute) running_var (symm_learning.nn.normalization.DataNorm attribute)

S

sorted_jordan_canonical_form() (in module symm_learning.representation_theory) std (symm_learning.nn.normalization.DataNorm property) symm_learning.linalg module symm_learning.models module symm_learning.nn.activations module symm_learning.nn.conv module symm_learning.nn.disentangled module

symm_learning.nn.distributions module symm_learning.nn.normalization module symm_learning.nn.pooling module symm_learning.representation_theory module symm_learning.stats module

T

TimeCNNEncoder (class in symm_learning.models)

V

var (symm_learning.nn.normalization.DataNorm property)

var_mean() (in module symm_learning.stats)