Alternatives and similar repositories for muddled_models:

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

• wkool / tradeoffs
  Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)
  ☆22Updated 7 years ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆16Updated 2 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆61Updated 2 years ago
• Nathaniel-Haines / Reliability_2020
  ☆12Updated 10 months ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆16Updated 3 years ago
• hrl-team / online_exp
  Code for creating online tasks to study human reinforcement learning
  ☆9Updated 5 years ago
• nivlab / nivturk
  Tools for serving and storing data from online experiments.
  ☆18Updated this week
• sjgershm / exploration
  Code and data for the paper "Deconstructing the human algorithms for exploration"
  ☆14Updated 5 years ago
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 3 years ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆36Updated 8 years ago
• idamomen / predictive_representations
  ☆13Updated 5 years ago
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated last year
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆16Updated last year
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 6 years ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• danheck / MPT-workshop
  Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances
  ☆12Updated 10 months ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆33Updated 2 years ago
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆31Updated last year
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆14Updated 8 years ago
• kurokida / jspsych-psychophysics
  A jsPsych plugin for psychophysics
  ☆54Updated 7 months ago
• igmmgi / DMCfun
  R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…
  ☆17Updated 3 months ago
• jeheelab / TAFKAP
  (Matlab) code for the probabilistic brain decoding algorithms "PRINCE" and "The Algorithm Formerly Known As Prince"
  ☆15Updated 10 months ago
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated last year
• sjgershm / ccnl-fmri
  fmri analysis tools
  ☆18Updated 3 years ago
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆46Updated 7 months ago
• 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 3 months ago
• IanEisenberg / Self_Regulation_Ontology
  ☆16Updated 2 years ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆15Updated last year
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆63Updated 5 months ago