Alternatives and similar repositories for pyhddmjags

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

• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆18Updated last year
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆46Updated last week
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 7 years ago
• ampl-psych / EMC2
  ☆23Updated last week
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated 2 years ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago
• mpc-ucl / emfit
  ☆25Updated last year
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆16Updated this week
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆30Updated 6 months ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 3 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 5 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
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆35Updated 3 years ago
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆12Updated last week
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆70Updated last year
• rdgao / specparam-sbi
  Demo on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).
  ☆12Updated 2 months ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• danclab / laMEG
  Toolbox for laminar inference with MEG
  ☆18Updated last week
• baribault / matstanlib
  A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.
  ☆10Updated 3 years ago
• embodied-computation-group / metadpy
  Metacognitive efficiency modelling in Python.
  ☆18Updated last year
• voytekresearch / Cole_2018_cyclebycycle
  Analysis code to create the figures in "Cycle by cycle analysis of neural oscillations"
  ☆15Updated 5 years ago
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆32Updated last year
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 5 years ago
• m-guggenmos / remeta
  Reverse engineering of Metacognition toolbox
  ☆18Updated last month
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated 2 years ago
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 2 years ago
• Summer-MIND / mind_2018
  ☆39Updated 7 years ago