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PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
COMPAS rapid binary population synthesis code
Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
Modelling jetted Active Galactic Nuclei radiative processes with python
An open-source package for neutron star whole workflow Bayesian inference constraining Neutron star EOS package
code for ICLR 2024 paper MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Tutorial notebooks for Stingray
Compute the multiband emissions from Forward-Reverse Shocks of a GRB or TDE jet
Leptonic-Hadronic Modeling Code for High-Energy Astrophysical Sources
A codebase dedicated to exploring multimodal learning approaches by integrating images of host galaxies of supernovae and their corresponding light-curves and spectra.
Results from numerical leptohadronic simulations of 324 gamma-ray blazars (Rodrigues et al 2023)
Amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion disks
Synchrotron and synchrotron-self Compton polarization for relativistic jets.
Blazar light curve simulation package in python3
Numerical Methods solver illustrating how to solve the Fokker Planck equations for 2D+1 variables.
CMB polarization power spectral data and plotting
Spectral information used for Crab Nebula modelling
Tools and Jupyter notebooks for data analysis and visualization for the EHT Sgr A* Theory Paper
This model is used to calculate the spectral energy distribution (SED) of BH accretion proccesses. The accretion flow is divided into two regime based on the value of Eddington-normalized accretion…
Python routines for the Meyer et al. (2010) Crab nebula constant B-field model
Correlated random walk propagation of cosmic rays in magnetic turbulence (published in JOSS)
Code for modelling the motion of relativistic jets produced by black hole X-ray binaries. Results presented in Carotenuto et al. (2024).
GluonTS Estimator implementations for Stock Market Predictiosn