Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

Public version of PolyChord: See polychord.co.uk for PolyChordPro

Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.

Diffusive Nested Sampling

Nested Sampling post-processing and plotting

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

Bayesian fitting package

Implementations of single and multi-ellipsoid nested sampling

nessai: Nested Sampling with Artificial Intelligence

Parallel nested sampling

A straightforward Bayesian data fitting library

Proximal Nested Sampling for high-dimensional Bayesian model selection

Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).

Artificial Neural-Net compression and fitting of synthetic spectral grids.

Error analysis, diagnostic tests and plots for nested sampling calculations.

Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets

Bayesian spectral decomposition and model fitting using Nested Sampling

A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.