Alternatives and similar repositories for py-smc2

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

• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆84Updated 2 years ago
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆18Updated last year
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆12Updated 2 weeks ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 3 months ago
• bayesflow-org / Neural-Superstatistics
  Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…
  ☆12Updated 2 years ago
• michaelnowotny / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆26Updated 3 years ago
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆33Updated last year
• lnccbrown / HSSM
  Development of HSSM package
  ☆104Updated last week
• bayesflow-org / awesome-amortized-inference
  This is a community-driven collection of resources around amortized inference.
  ☆49Updated 11 months ago
• adamhaber / pybrms
  Pythonic interface to R's brms
  ☆45Updated 3 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆46Updated last year
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• neuroailab / psych253
  Code for Psychology 253
  ☆17Updated 5 years ago
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆16Updated 2 weeks ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆28Updated last year
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated 3 months ago
• bnicenboim / bayescogsci
  Textbook on Bayesian Data Analysis for Cognitive Science, Nicenboim, Schad, Vasishth
  ☆16Updated 2 months ago
• pyeparse / pyeparse
  Tools related to analyzing eye tracking data from cogntive sciences experiments
  ☆16Updated last year
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 4 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• lei-zhang / BayesCog_v0.2
  ☆20Updated 6 years ago
• tmiasko / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆12Updated 5 years ago
• msteyvers / matjags
  MATJAGS, a Matlab interface for JAGS
  ☆16Updated 7 years ago
• drbenvincent / darc_toolbox
  Run adaptive decision making experiments
  ☆16Updated 3 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago
• kreutz-lab / Rcall
  R function interface for Matlab
  ☆23Updated last year
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago