ml4gw

Modules

augmentations	This module contains transformations that may be useful for augmenting timeseries data during training
constants	Various constants, all in SI units.
dataloading	This module contains tools for efficient in-memory and out-of-memory dataloading.
distributions	Module containing callables classes for generating samples from specified distributions.
gw	Tools for manipulating raw gravitational waveforms, projecting them onto interferometer responses, and calculating SNRs.
nn	This module contains neural network architectures and architecture components.
spectral	This module provides functions for calculation of spectral densities and for whitening.
transforms	This module contains a variety of data transformation classes, including objects to calculate spectral densities, whiten data, and compute Q-transforms.
types	This module defines common types used for type annotation throughout the package
waveforms	This module contains tools for generating waveforms, both CBC approximants and more generic waveforms like sine-gaussians.