Alternatives and similar repositories for approxposterior:

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

• 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.
  ☆29Updated 2 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆61Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 2 weeks ago
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆64Updated last week
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆22Updated 3 years ago
• nanograv / PTMCMCSampler
  Parallel tempering MCMC sampler package written in Python
  ☆53Updated 7 months ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• minaskar / pocomc
  pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
  ☆100Updated 2 months ago
• SihaoCheng / scattering_transform
  A webpage for the scattering transform. To calculate, you just need the folder called "scattering".
  ☆52Updated 7 months ago
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 4 years ago
• exoplanet-dev / celerite2
  Fast & scalable Gaussian Processes in one dimension
  ☆74Updated 3 weeks ago
• 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 2 months ago
• ywx649999311 / EzTao
  A Python Toolkit for AGN Time Series Analysis using CARMA models
  ☆19Updated 7 months ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆14Updated 8 months ago
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆23Updated 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
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆38Updated this week
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• davidwhogg / DataAnalysisRecipes
  chapters of a book Hogg will never write
  ☆90Updated 3 months ago
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆64Updated 2 weeks ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated last year
• SebastianBocquet / pygtc
  Make a sweet giant triangle confusogram (GTC) plot
  ☆34Updated last year
• dfm / emcee-jax
  An experiment: emcee implemented in JAX
  ☆25Updated 2 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated last month
• willvousden / ptemcee
  A parallel-tempered version of emcee.
  ☆59Updated 2 years ago
• brandonckelly / carma_pack
  MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
  ☆40Updated 6 months ago
• bfarr / kombine
  A kernel-density-based, embarrassingly parallel ensemble sampler
  ☆34Updated 2 years ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated last year