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44 public repositories
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Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Updated
Mar 1, 2022
Python
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Updated
Feb 2, 2022
Python
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Updated
Jan 17, 2022
Python
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Updated
Jan 29, 2019
Python
Diffusive Nested Sampling
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Updated
Feb 17, 2022
Fortran
Updated
Feb 7, 2022
Jupyter Notebook
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
Updated
Aug 31, 2021
Python
Nested Sampling post-processing and plotting
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Feb 17, 2022
Python
Updated
Jan 28, 2022
Python
A straightforward Bayesian data fitting library
Updated
Jan 6, 2022
Python
Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
Updated
May 3, 2020
Python
nessai: Nested Sampling with Artificial Intelligence
Updated
Feb 17, 2022
Python
Artificial Neural-Net compression and fitting of synthetic spectral grids.
Updated
Feb 11, 2022
Python
Error analysis, diagnostic tests and plots for nested sampling calculations.
Updated
Oct 31, 2020
Python
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
Updated
Oct 28, 2019
Python
Bayesian spectral decomposition and model fitting using Nested Sampling
Updated
Feb 18, 2022
Python
Pythonic Nested Sampling Development Framework & UltraNest
Updated
Nov 18, 2018
Python
Version 2.0 of MINESweeper Isochrone fitting code
Updated
Feb 11, 2022
Python
Calculating information theory quantities since 2017
A Matlab nested sampling implementation
Updated
Jan 18, 2019
MATLAB
Diffusive Nested Sampling like you've never seen it before
"Perfect" dynamic and standard nested sampling for spherically symmetric likelihoods and priors.
Updated
May 3, 2020
Python
Metropolis and Nested Sampling in R
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.
Updated
Nov 21, 2021
MATLAB
Implementation of a nested sampling algorithm taking advantage of David Quigley's hs_alkane package.
Updated
Feb 28, 2022
Jupyter Notebook
Nested sampling of the GAS DR1 NGC1333 ammonia data
Updated
Jul 14, 2020
Python
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It would be nice to start implementing models which have analytical evidence formulas, both to show in examples in the docs, and to use as unit tests. I think we can create a new submodule,
Models, and write a bunch of log-likelihood functions and priors, usingconst GMM = NestedModel(log_GMM, prior_GMM). Ideally these models can be written without any additional dependencies than are already