Alternatives and similar repositories for dyPolyChord

Users that are interested in dyPolyChord are comparing it to the libraries listed below

• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆43Updated 2 years ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 3 years ago
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆63Updated 3 weeks ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated 3 months ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆63Updated 2 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• exoplanet-dev / celerite2
  Fast & scalable Gaussian Processes in one dimension
  ☆79Updated last month
• bfarr / kombine
  A kernel-density-based, embarrassingly parallel ensemble sampler
  ☆34Updated 3 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated 2 years ago
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 10 months ago
• minaskar / pocomc
  pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
  ☆116Updated 4 months ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆21Updated 4 years ago
• JohannesBuchner / PyMultiNest
  Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
  ☆212Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 7 months ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆191Updated last week
• brandonckelly / carma_pack
  MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
  ☆42Updated last year
• PolyChord / PolyChordLite
  Public version of PolyChord: See polychord.co.uk for PolyChordPro
  ☆95Updated last week
• SebastianBocquet / pygtc
  Make a sweet giant triangle confusogram (GTC) plot
  ☆34Updated 2 years ago
• willvousden / ptemcee
  A parallel-tempered version of emcee.
  ☆62Updated 2 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• nanograv / PTMCMCSampler
  Parallel tempering MCMC sampler package written in Python
  ☆57Updated 2 months ago
• eggplantbren / DNest4
  Diffusive Nested Sampling
  ☆71Updated 3 weeks ago
• ixkael / Prob-tools
  ☆16Updated 5 years ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆15Updated 8 months ago
• joshspeagle / dynesty
  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
  ☆397Updated last month