Alternatives and similar repositories for hddmnn_tutorial

Users that are interested in hddmnn_tutorial 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
• 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
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 7 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆35Updated 3 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆46Updated 2 weeks 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
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆12Updated 2 weeks ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 2 years ago
• ampl-psych / EMC2
  ☆23Updated last week
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 5 years ago
• anne-urai / 2019_Urai_choice-history-ddm
  Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife
  ☆15Updated 5 years ago
• mpc-ucl / emfit
  ☆25Updated last year
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated last year
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 4 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated 2 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆66Updated 2 months ago
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 9 months ago
• rdgao / specparam-sbi
  Demo on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).
  ☆11Updated last month
• danclab / laMEG
  Toolbox for laminar inference with MEG
  ☆18Updated this week
• m-guggenmos / remeta
  Reverse engineering of Metacognition toolbox
  ☆18Updated 3 weeks ago
• embodied-computation-group / metadpy
  Metacognitive efficiency modelling in Python.
  ☆18Updated last year
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆15Updated 8 years ago
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆67Updated 11 months ago
• baribault / matstanlib
  A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.
  ☆10Updated 3 years ago
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆29Updated 5 months ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• Summer-MIND / mind-tools
  Docker container prebuilt with python tools for demos and workshops
  ☆15Updated 7 years ago