Alternatives and similar repositories for py-smc2

Users that are interested in py-smc2 are comparing it to the libraries listed below

• bayesflow-org / Neural-Superstatistics
  Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…
  ☆11Updated last year
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆17Updated last year
• gabriuma / basis_functions_approach_to_GP
  ☆55Updated 2 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆101Updated 2 weeks ago
• rok-cesnovar / stan-distributions
  A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…
  ☆44Updated 2 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 3 months ago
• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆82Updated 2 years ago
• adamhaber / pybrms
  Pythonic interface to R's brms
  ☆44Updated 3 years ago
• michaelnowotny / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆23Updated 2 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated 7 months ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆27Updated 8 months ago
• JagsJulia / Jags.jl
  Julia package for using Jags as an external program
  ☆17Updated last year
• spinkney / helpful_stan_functions
  ☆76Updated last year
• syclik / stan-algorithms
  Reimplementation of Stan algorithms
  ☆19Updated 3 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• ddegras / switch-ssm
  Markov-Switching State-Space Models
  ☆14Updated last year
• bnicenboim / bayescogsci
  Textbook on Bayesian Data Analysis for Cognitive Science, Nicenboim, Schad, Vasishth
  ☆16Updated 3 months ago
• luisdamiano / stancon18
  A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
  ☆31Updated 7 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 7 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 3 months ago
• msteyvers / matjags
  MATJAGS, a Matlab interface for JAGS
  ☆16Updated 6 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆11Updated this week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆29Updated this week
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago