Index

A

AddSkipConnect (class in ml4gw.nn.autoencoder.skip_connection) arg_constraints (ml4gw.distributions.Cosine attribute) (ml4gw.distributions.DeltaFunction attribute)

Autoencoder (class in ml4gw.nn.autoencoder.base)

B

BasicBlock (class in ml4gw.nn.resnet.resnet_1d) (class in ml4gw.nn.resnet.resnet_2d) block (ml4gw.nn.resnet.resnet_1d.BottleneckResNet1D attribute) (ml4gw.nn.resnet.resnet_1d.ResNet1D attribute) (ml4gw.nn.resnet.resnet_2d.BottleneckResNet2D attribute) (ml4gw.nn.resnet.resnet_2d.ResNet2D attribute)

Bottleneck (class in ml4gw.nn.resnet.resnet_1d) (class in ml4gw.nn.resnet.resnet_2d) BottleneckResNet1D (class in ml4gw.nn.resnet.resnet_1d) BottleneckResNet2D (class in ml4gw.nn.resnet.resnet_2d) breathing() (in module ml4gw.gw) build() (ml4gw.transforms.transform.FittableTransform method)

C

ChannelWiseScaler (class in ml4gw.transforms.scaler) ChunkedTimeSeriesDataset (class in ml4gw.dataloading.chunked_dataset) compute_antenna_responses() (in module ml4gw.gw) compute_ifo_snr() (in module ml4gw.gw) compute_network_snr() (in module ml4gw.gw) compute_observed_strain() (in module ml4gw.gw) ConcatSkipConnect (class in ml4gw.nn.autoencoder.skip_connection) ContiguousHdf5Warning

conv1() (in module ml4gw.nn.resnet.resnet_1d) (in module ml4gw.nn.resnet.resnet_2d) ConvBlock (class in ml4gw.nn.autoencoder.convolutional) convN() (in module ml4gw.nn.resnet.resnet_1d) (in module ml4gw.nn.resnet.resnet_2d) ConvolutionalAutoencoder (class in ml4gw.nn.autoencoder.convolutional) Cosine (class in ml4gw.distributions) cross() (in module ml4gw.gw)

D

decode() (ml4gw.nn.autoencoder.base.Autoencoder method) (ml4gw.nn.autoencoder.convolutional.ConvBlock method) (ml4gw.nn.autoencoder.convolutional.ConvolutionalAutoencoder method)

DeltaFunction (class in ml4gw.distributions)

E

encode() (ml4gw.nn.autoencoder.base.Autoencoder method) (ml4gw.nn.autoencoder.convolutional.ConvBlock method) expansion (ml4gw.nn.resnet.resnet_1d.BasicBlock attribute) (ml4gw.nn.resnet.resnet_1d.Bottleneck attribute) (ml4gw.nn.resnet.resnet_2d.BasicBlock attribute) (ml4gw.nn.resnet.resnet_2d.Bottleneck attribute)

F

fast_spectral_density() (in module ml4gw.spectral) fit() (ml4gw.transforms.scaler.ChannelWiseScaler method) (ml4gw.transforms.snr_rescaler.SnrRescaler method) (ml4gw.transforms.whitening.FixedWhiten method) FittableSpectralTransform (class in ml4gw.transforms.transform) FittableTransform (class in ml4gw.transforms.transform) FixedWhiten (class in ml4gw.transforms.whitening) forward() (ml4gw.augmentations.SignalInverter method) (ml4gw.augmentations.SignalReverser method) (ml4gw.nn.autoencoder.base.Autoencoder method) (ml4gw.nn.autoencoder.convolutional.ConvolutionalAutoencoder method) (ml4gw.nn.autoencoder.skip_connection.AddSkipConnect method) (ml4gw.nn.autoencoder.skip_connection.ConcatSkipConnect method) (ml4gw.nn.autoencoder.skip_connection.SkipConnection method) (ml4gw.nn.norm.GroupNorm1D method) (ml4gw.nn.resnet.resnet_1d.BasicBlock method) (ml4gw.nn.resnet.resnet_1d.Bottleneck method) (ml4gw.nn.resnet.resnet_1d.ResNet1D method) (ml4gw.nn.resnet.resnet_2d.BasicBlock method) (ml4gw.nn.resnet.resnet_2d.Bottleneck method) (ml4gw.nn.resnet.resnet_2d.ResNet2D method) (ml4gw.nn.streaming.online_average.OnlineAverager method) (ml4gw.nn.streaming.snapshotter.Snapshotter method) (ml4gw.transforms.pearson.ShiftedPearsonCorrelation method) (ml4gw.transforms.scaler.ChannelWiseScaler method) (ml4gw.transforms.snr_rescaler.SnrRescaler method) (ml4gw.transforms.spectral.SpectralDensity method) (ml4gw.transforms.spectrogram.MultiResolutionSpectrogram method) (ml4gw.transforms.waveforms.WaveformProjector method) (ml4gw.transforms.waveforms.WaveformSampler method) (ml4gw.transforms.whitening.FixedWhiten method) (ml4gw.transforms.whitening.Whiten method) (ml4gw.waveforms.generator.ParameterSampler method) (ml4gw.waveforms.generator.WaveformGenerator method)

G

get_ifo_geometry() (in module ml4gw.gw) get_initial_state() (ml4gw.nn.streaming.online_average.OnlineAverager method) (ml4gw.nn.streaming.snapshotter.Snapshotter method) get_out_channels() (ml4gw.nn.autoencoder.skip_connection.ConcatSkipConnect method) (ml4gw.nn.autoencoder.skip_connection.SkipConnection method)

GroupNorm1D (class in ml4gw.nn.norm) GroupNorm1DGetter (class in ml4gw.nn.norm) GroupNorm2DGetter (class in ml4gw.nn.norm)

H

Hdf5TimeSeriesDataset (class in ml4gw.dataloading.hdf5_dataset)

I

init_indices() (ml4gw.dataloading.in_memory_dataset.InMemoryDataset method)

InMemoryDataset (class in ml4gw.dataloading.in_memory_dataset)

L

log_prob() (ml4gw.distributions.Cosine method)

LogNormal (class in ml4gw.distributions) LogUniform (class in ml4gw.distributions)

M

match_size() (in module ml4gw.nn.autoencoder.utils) median() (in module ml4gw.spectral) ml4gw module ml4gw.augmentations module ml4gw.dataloading module ml4gw.dataloading.chunked_dataset module ml4gw.dataloading.hdf5_dataset module ml4gw.dataloading.in_memory_dataset module ml4gw.distributions module ml4gw.gw module ml4gw.nn module ml4gw.nn.autoencoder module ml4gw.nn.autoencoder.base module ml4gw.nn.autoencoder.convolutional module ml4gw.nn.autoencoder.skip_connection module ml4gw.nn.autoencoder.utils module ml4gw.nn.norm module ml4gw.nn.resnet module ml4gw.nn.resnet.resnet_1d module ml4gw.nn.resnet.resnet_2d module ml4gw.nn.streaming module ml4gw.nn.streaming.online_average module ml4gw.nn.streaming.snapshotter module ml4gw.spectral module ml4gw.transforms module ml4gw.transforms.pearson module ml4gw.transforms.scaler module ml4gw.transforms.snr_rescaler module ml4gw.transforms.spectral module ml4gw.transforms.spectrogram module ml4gw.transforms.transform module

ml4gw.transforms.waveforms module ml4gw.transforms.whitening module ml4gw.types module ml4gw.waveforms module ml4gw.waveforms.generator module ml4gw.waveforms.phenom_d module ml4gw.waveforms.phenom_d_data module ml4gw.waveforms.sine_gaussian module ml4gw.waveforms.taylorf2 module module ml4gw ml4gw.augmentations ml4gw.dataloading ml4gw.dataloading.chunked_dataset ml4gw.dataloading.hdf5_dataset ml4gw.dataloading.in_memory_dataset ml4gw.distributions ml4gw.gw ml4gw.nn ml4gw.nn.autoencoder ml4gw.nn.autoencoder.base ml4gw.nn.autoencoder.convolutional ml4gw.nn.autoencoder.skip_connection ml4gw.nn.autoencoder.utils ml4gw.nn.norm ml4gw.nn.resnet ml4gw.nn.resnet.resnet_1d ml4gw.nn.resnet.resnet_2d ml4gw.nn.streaming ml4gw.nn.streaming.online_average ml4gw.nn.streaming.snapshotter ml4gw.spectral ml4gw.transforms ml4gw.transforms.pearson ml4gw.transforms.scaler ml4gw.transforms.snr_rescaler ml4gw.transforms.spectral ml4gw.transforms.spectrogram ml4gw.transforms.transform ml4gw.transforms.waveforms ml4gw.transforms.whitening ml4gw.types ml4gw.waveforms ml4gw.waveforms.generator ml4gw.waveforms.phenom_d ml4gw.waveforms.phenom_d_data ml4gw.waveforms.sine_gaussian ml4gw.waveforms.taylorf2 MultiResolutionSpectrogram (class in ml4gw.transforms.spectrogram)

N

normalize_by_psd() (in module ml4gw.spectral)

normalize_psd() (ml4gw.transforms.transform.FittableSpectralTransform method) num_kernels (ml4gw.dataloading.in_memory_dataset.InMemoryDataset property)

O

OnlineAverager (class in ml4gw.nn.streaming.online_average)

outer() (in module ml4gw.gw)

P

ParameterSampler (class in ml4gw.waveforms.generator)

plus() (in module ml4gw.gw) PowerLaw (class in ml4gw.distributions)

R

ResNet1D (class in ml4gw.nn.resnet.resnet_1d) ResNet2D (class in ml4gw.nn.resnet.resnet_2d)

reweight_snrs() (in module ml4gw.gw) rsample() (ml4gw.distributions.Cosine method) (ml4gw.distributions.DeltaFunction method)

S

sample_batch() (ml4gw.dataloading.hdf5_dataset.Hdf5TimeSeriesDataset method) sample_fnames() (ml4gw.dataloading.hdf5_dataset.Hdf5TimeSeriesDataset method) shift_responses() (in module ml4gw.gw) ShiftedPearsonCorrelation (class in ml4gw.transforms.pearson) SignalInverter (class in ml4gw.augmentations) SignalReverser (class in ml4gw.augmentations) Sine (class in ml4gw.distributions)

SkipConnection (class in ml4gw.nn.autoencoder.skip_connection) Snapshotter (class in ml4gw.nn.streaming.snapshotter) SnrRescaler (class in ml4gw.transforms.snr_rescaler) spectral_density() (in module ml4gw.spectral) SpectralDensity (class in ml4gw.transforms.spectral) support (ml4gw.distributions.PowerLaw attribute) support() (ml4gw.distributions.LogNormal method)

T

truncate_inverse_power_spectrum() (in module ml4gw.spectral)

W

WaveformGenerator (class in ml4gw.waveforms.generator) WaveformProjector (class in ml4gw.transforms.waveforms)

WaveformSampler (class in ml4gw.transforms.waveforms) Whiten (class in ml4gw.transforms.whitening) whiten() (in module ml4gw.spectral)