Alternatives and similar repositories for SMC-NS

Users that are interested in SMC-NS are comparing it to the libraries listed below

• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 5 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆108Updated last year
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 2 years ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• smsharma / mining-for-substructure-lens
  Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…
  ☆32Updated 5 years ago
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆15Updated 2 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated last year
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆22Updated 3 years ago
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆64Updated this week
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• dingo-gw / flow-matching-posterior-estimation
  ☆25Updated last year
• SebastianBocquet / pygtc
  Make a sweet giant triangle confusogram (GTC) plot
  ☆34Updated last year
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 2 months ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated last week
• nanograv / PTMCMCSampler
  Parallel tempering MCMC sampler package written in Python
  ☆53Updated 8 months ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆39Updated last week
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆31Updated 3 months ago
• dpiras / cosmopower-jax
  Differentiable cosmological emulators: the JAX version of CosmoPower
  ☆37Updated 4 months ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 4 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆56Updated 2 weeks ago
• vallis / truebayes
  Deep neural networks for gravitational-wave posterior estimation
  ☆14Updated 5 years ago
• uofgravity / glasflow
  Normalising flows implemented using nflows
  ☆27Updated 7 months ago
• stephengreen / lfi-gw
  Likelihood-Free Inference for Gravitational Waves
  ☆38Updated 3 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆61Updated last year
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆23Updated last year
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• kazewong / jim
  Gravitational-wave data analysis tools in Jax
  ☆68Updated this week
• dfm / numpyro-ext
  A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work
  ☆24Updated 3 months ago