Alternatives and similar repositories for lans

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

• 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)
  ☆11Updated 3 weeks ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆16Updated 3 years ago
• ycleong / MotivatedPerception
  Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)
  ☆9Updated 5 years ago
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆17Updated 11 months ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆15Updated 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
• 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
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated last year
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆13Updated this week
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆16Updated 7 years ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆16Updated last year
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• hrl-team / online_exp
  Code for creating online tasks to study human reinforcement learning
  ☆9Updated 6 years ago
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 7 months ago
• ampl-psych / EMC2
  ☆17Updated this week
• DominiqueMakowski / easyRT
  Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R
  ☆11Updated last year
• GWeindel / hmp
  Repository for the hmp python package
  ☆44Updated last week
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• JanaJarecki / summer-school-computational-mathematical-modeling-of-cognition
  Material of the European Summer School on Computational and Mathematical Modeling of Cognition
  ☆11Updated 2 years ago
• yxlin / ggdmc
  Bayesian Cognitive Modelling
  ☆19Updated 9 months ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆16Updated 3 years ago
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆15Updated 8 years ago
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated last year
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆31Updated last year
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆13Updated 2 years ago
• Nathaniel-Haines / Reliability_2020
  ☆12Updated last year
• 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 7 months ago