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…
  ☆19Updated last year
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 3 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆50Updated this week
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆18Updated last week
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆13Updated last week
• ampl-psych / EMC2
  ☆27Updated last week
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 7 years ago
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆15Updated 4 years ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 8 years ago
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated 2 years ago
• mpc-ucl / emfit
  ☆25Updated last year
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆32Updated last month
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 4 years ago
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆76Updated last year
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆24Updated 5 years ago
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆36Updated 3 years ago
• danclab / laMEG
  Toolbox for laminar inference with MEG
  ☆20Updated last week
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 5 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 5 years ago
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 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
• embodied-computation-group / metadpy
  Metacognitive efficiency modelling in Python.
  ☆19Updated 2 years ago
• jeroenvanbaar / Computational_modeling_tutorial
  [beta] An entry-level computational modeling workshop, developed for internal use at Brown University but hopefully useful to many!
  ☆11Updated 5 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated 2 years ago
• rdgao / specparam-sbi
  Demo on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).
  ☆12Updated 6 months ago
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆13Updated 3 years ago
• mdnunez / PIPS_course
  Programming in Psychological Science course. This repository contains materials for a R + Python intro course.
  ☆16Updated 2 years ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆17Updated 3 years ago