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
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆21Updated 4 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated 2 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆103Updated 3 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆43Updated 2 years ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 7 months ago
• 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 6 years ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆163Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated 11 months ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 3 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated 2 months ago
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆15Updated 3 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 10 months ago
• yabebalFantaye / MCEvidence
  A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)
  ☆43Updated 2 years ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 5 years ago
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆63Updated last week
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 2 weeks ago
• exoml / plan-net
  An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
  ☆12Updated 6 years ago
• uofgravity / glasflow
  Normalising flows implemented using nflows
  ☆27Updated 2 weeks ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆44Updated last week
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆19Updated 5 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆63Updated 2 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• ChrisBoettner / gallifrey
  A JAX-based gaussian process structure learning package for time series modelling.
  ☆30Updated 7 months ago
• joshspeagle / dynesty
  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
  ☆395Updated last month
• gpapamak / snl
  Sequential Neural Likelihood
  ☆42Updated 6 years ago
• SebastianBocquet / pygtc
  Make a sweet giant triangle confusogram (GTC) plot
  ☆34Updated 2 years ago