Alternatives and similar repositories for ssm-simulators

Users that are interested in ssm-simulators are comparing it to the libraries listed below

• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆13Updated last week
• bucky2177 / dRiftDM
  dRiftDM
  ☆13Updated 3 weeks ago
• ampl-psych / EMC2
  ☆27Updated this week
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆18Updated last year
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆30Updated last year
• 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
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆33Updated 2 years ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 3 years ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 7 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• DominiqueMakowski / easyRT
  Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R
  ☆11Updated 2 years ago
• kiante-fernandez / Rhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…
  ☆13Updated last year
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆15Updated 4 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆48Updated last month
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated 2 years ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 8 years ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 4 years ago
• yxlin / ggdmc
  ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.
  ☆19Updated last month
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆18Updated 2 years ago
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆47Updated last year
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆32Updated last week
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆17Updated 3 years ago
• coconeuro / remeta
  Reverse engineering of Metacognition toolbox
  ☆18Updated last month
• mpc-ucl / emfit
  ☆25Updated last year
• embodied-computation-group / metadpy
  Metacognitive efficiency modelling in Python.
  ☆19Updated 2 years ago
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 3 months ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆18Updated last year
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 2 years ago
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 5 years ago