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
• GWeindel / hmp
  Repository for the hmp python package
  ☆48Updated this week
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆13Updated last month
• ampl-psych / EMC2
  ☆25Updated last week
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆17Updated this week
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆30Updated 8 months ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 8 years ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated 2 years ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 4 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
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 2 years ago
• rdgao / specparam-sbi
  Demo on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).
  ☆12Updated 4 months ago
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 2 months ago
• mpc-ucl / emfit
  ☆25Updated last year
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆24Updated 5 years ago
• danclab / laMEG
  Toolbox for laminar inference with MEG
  ☆18Updated last week
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆35Updated 3 years ago
• embodied-computation-group / metadpy
  Metacognitive efficiency modelling in Python.
  ☆19Updated 2 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated 2 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• jeroenvanbaar / MoralStrategiesFMRI
  Code accompanying the manuscript: Van Baar, J., Chang, L., & Sanfey, A.G. (2019). The computational and neural substrates of moral strate…
  ☆26Updated 3 years ago
• agramfort / mne_pratical_meeg
  Materials for MNE tutorials at Practical MEEG workshop Paris 2019
  ☆16Updated 5 years ago
• mdnunez / PIPS_course
  Programming in Psychological Science course. This repository contains materials for a R + Python intro course.
  ☆16Updated 2 years ago
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆73Updated last year
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆33Updated 2 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆66Updated 4 months ago