Alternatives and similar repositories for Self_Regulation_Ontology

Users that are interested in Self_Regulation_Ontology 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
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆17Updated 3 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 5 years ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago
• Nathaniel-Haines / Reliability_2020
  ☆12Updated last year
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated this week
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 5 years ago
• lei-zhang / BayesCog_Part1
  Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).
  ☆15Updated last year
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 3 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆66Updated 3 months ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆18Updated last year
• ampl-psych / EMC2
  ☆23Updated this week
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆28Updated last year
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆14Updated 4 years ago
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆46Updated last year
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆35Updated 3 years ago
• poldrack / talks-RunningALab
  talks on running a lab
  ☆18Updated 2 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated 2 years ago
• rubenvangenugten / autobiographical_interview_scoring
  Using NLP to automatically score autobiographical interview narratives
  ☆18Updated 9 months ago
• ContextLab / sherlock-topic-model-paper
  Data and code for the paper "Geometric models reveal behavioural and neural signatures of transforming naturalistic experiences into epis…
  ☆31Updated 4 years ago
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆18Updated last year
• ContextLab / cs-for-psych
  Course materials for PSYC 132: Introduction to Programming for Psychological Scientists
  ☆90Updated 2 years ago
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆13Updated 3 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆16Updated 4 years ago
• jstbcs / inhibitiontasks
  Open database for inhibition tasks
  ☆10Updated 2 years ago
• mne-tools / mne-r
  Fast Access to MNE-Python From Within R
  ☆29Updated 5 years ago
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆32Updated last year
• DominiqueMakowski / easyRT
  Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R
  ☆11Updated 2 years ago
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆30Updated 6 months ago