Alternatives and similar repositories for Neural-Superstatistics

Users that are interested in Neural-Superstatistics are comparing it to the libraries listed below

• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆16Updated last week
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆12Updated this week
• bucky2177 / dRiftDM
  dRiftDM
  ☆12Updated last week
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆27Updated last year
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆18Updated last year
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆18Updated last year
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆32Updated last year
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 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…
  ☆12Updated 10 months ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• ampl-psych / EMC2
  ☆23Updated this week
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆46Updated 2 weeks ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• DominiqueMakowski / easyRT
  Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R
  ☆11Updated 2 years ago
• m-guggenmos / remeta
  Reverse engineering of Metacognition toolbox
  ☆18Updated 3 weeks ago
• yxlin / ggdmc
  ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.
  ☆18Updated 2 weeks ago
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated last year
• baribault / matstanlib
  A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.
  ☆10Updated 3 years ago
• mne-tools / mne-r
  Fast Access to MNE-Python From Within R
  ☆29Updated 5 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆46Updated last year
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 9 months ago
• fusaroli / CognitiveModelingRecoded
  Stan + cmdstanr recoding of Bayesian Cognitive Modeling
  ☆12Updated 2 years ago
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 2 years ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 7 years ago
• lindeloev / shiny-rt
  Reaction Time Distributions - An Interactive Overview
  ☆44Updated 3 years ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 3 years ago
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆14Updated 4 years ago
• mpc-ucl / emfit
  ☆25Updated last year