A library for scientific machine learning and physics-informed learning

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the …

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Differentiable Gravitational Waveforms with JAX

Package for making predictions about stellar-origin sources in space-based gravitational wave detectors

Python package for computing Kerr quasinormal mode frequencies, separation constants, and spherical-spheroidal mixing coefficients

A Python tool to study the information yield of counting experiments.

Gravitational wave template bank generation made easy.

A Galaxy Luminosity Function Pipeline for Cosmology and Astrophysics

The code and data used for the publication: Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models

Main source package for calculating paleo detector signal and backgrounds

efficiency graph for SLSN

This repository hosts the NeuroML 2 Schema, the ComponentType definitions in LEMS and the core documentation of NeuroML2.

Zoo of BIDS Stats Models (extraordinarily experimental)

The Virtual Brain framework. Requires tvb-library

Continuous wavelet transform module for Python. Includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. This module references to the numpy, scipy and py…

This repository contains demo data for TVB software. Some of these files are used in TVB Demos

The science behind The Virtual Brain