Probabilistic Programming and Nested sampling in JAX
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Updated
Dec 15, 2025 - Python
Probabilistic Programming and Nested sampling in JAX
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Nested Sampling post-processing and plotting
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Interface and plugin for using nessai in bilby
Artificial Neural-Net compression and fitting of synthetic spectral grids.
Bayesian fitting package
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Magnetic geometry retrieval framework presented in Kavanagh et al. (2024).
Gravitational-wave specific proposals and reparameterisations for use with nessai
nessai: Nested Sampling with Artificial Intelligence
A Python package for studying secular evolution of exoplanet orbits using observational data.
Version 2.0 of MINESweeper Isochrone fitting code
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters
Bayesian inference of stochastic cellular processes with and without memory in Python.
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Implementation of nested sampling method
A straightforward Bayesian data fitting library
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