Alternatives and similar repositories for zeus

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

• joshspeagle / dynesty
  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
  ☆398Updated 2 months ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆219Updated last month
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆43Updated 2 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆111Updated 2 years ago
• JohannesBuchner / UltraNest
  Fit and compare complex models reliably and rapidly. Advanced nested sampling.
  ☆196Updated 2 weeks ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• DifferentiableUniverseInitiative / jax_cosmo
  A differentiable cosmology library in JAX
  ☆222Updated 7 months ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆241Updated last week
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆333Updated this week
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆63Updated 2 years ago
• exoplanet-dev / celerite2
  Fast & scalable Gaussian Processes in one dimension
  ☆81Updated 2 weeks ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆75Updated 3 months ago
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆216Updated last month
• JohannesBuchner / PyMultiNest
  Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
  ☆213Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 3 weeks ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• minaskar / pocomc
  pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
  ☆115Updated 4 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆236Updated last month
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆132Updated last year
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆63Updated last week
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 5 years ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 3 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆191Updated 3 weeks ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆255Updated 3 months ago
• syrte / ndtest
  multi-dimensional statistical test with python
  ☆99Updated last year
• exoplanet-dev / exoplanet
  Fast & scalable MCMC for all your exoplanet needs!
  ☆232Updated last week
• ColCarroll / minimc
  Just a little MCMC
  ☆235Updated last year