jrleja

prospector_alpha

sfs_leja_trained_flow

The trained normalizing flow describing the galaxy star-forming sequence from Leja et al. 2021

prospector

python code for Bayesian inference of Star Formation Histories, using MCMC

bayesian-sed-examples

BayesianComputing

dynesty

dynamic nested sampling package for computing Bayesian posteriors and evidences.

fsps

Automatically exported from code.google.com/p/fsps

jrleja.github.io

python-fsps

Python bindings to Charlie Conroy's Flexible Stellar Population Synthesis (FSPS) Fortran code

sedpy

Utilities for astronomical spectral energy distributions