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
• Nathaniel-Haines / Reliability_2020
  ☆12Updated last year
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆16Updated 3 years ago
• hrl-team / online_exp
  Code for creating online tasks to study human reinforcement learning
  ☆9Updated 6 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆63Updated last month
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆16Updated 3 years ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• lei-zhang / talks_and_workshops
  ☆11Updated 2 weeks 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
• nivlab / nivturk
  Tools for serving and storing data from online experiments.
  ☆18Updated this week
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• idamomen / predictive_representations
  ☆13Updated 6 years ago
• igmmgi / DMCfun
  R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…
  ☆18Updated 6 months ago
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆31Updated last year
• 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
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 4 years ago
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆13Updated last week
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆11Updated this week
• drbenvincent / darc_toolbox
  Run adaptive decision making experiments
  ☆16Updated 3 years ago
• ContextLab / CDL-tutorials
  Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
  ☆16Updated 5 years ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆16Updated last year
• danheck / MPT-workshop
  Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances
  ☆13Updated last month
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆34Updated 2 years ago
• lei-zhang / BayesCog_Part2
  Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).
  ☆10Updated last year
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆13Updated 2 years ago
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 7 months ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 4 years ago
• lynn0503 / Ten-simple-rules-for-the-computational-modeling-of-behavioral-data-Python
  Ten simple rules for the computational modeling of behavioral data
  ☆15Updated 2 years ago
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆15Updated 4 years ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago