Alternatives and similar repositories for rules:

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

• lacerbi / workshop-nyu-2019
  Introductory workshop to modeling and model fitting in cognitive and computational neuroscience
  ☆15Updated 5 years ago
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated last year
• KennethEnevoldsen / tomsup
  tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind
  ☆67Updated last year
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆31Updated 4 years ago
• payampiray / VKF
  ☆14Updated 5 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆61Updated 2 years ago
• abrahamnunes / fitr
  Tools for computational psychiatry research.
  ☆9Updated 2 months ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆36Updated 8 years ago
• clbaker / BToM
  ☆32Updated 7 years ago
• AnneCollins / TenSimpleRulesModeling
  Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
  ☆93Updated 5 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 years ago
• csmfindling / learning_variability
  ☆12Updated 5 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆69Updated last year
• tobywise / online-aversive-learning
  Code for our study looking at aversive learning online
  ☆11Updated 2 years ago
• Summer-MIND / mind_2017
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics
  ☆33Updated 5 years ago
• piantado / pychuriso
  Python implementation of churiso
  ☆18Updated 4 years ago
• wkool / tradeoffs
  Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)
  ☆22Updated 7 years ago
• idamomen / MIND2019_IM_RL_SR
  Tutorials for MIND2019
  ☆15Updated 5 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 8 years ago
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆41Updated 3 years ago
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 3 years ago
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆62Updated 5 months ago
• sjgershm / mfit
  Simple model-fitting tools
  ☆54Updated 5 years ago
• PrincetonUniversity / PsyNeuLink
  A block modeling system for cognitive neuroscience
  ☆87Updated this week
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated last year
• ntaatgen / PRIMs-Tutorial
  Tutorial for the PRIMs architecture
  ☆14Updated last year
• pushkin-consortium / pushkin
  A customizable, scalable ecosystem for massive online psychological experiments
  ☆26Updated last month
• tmalsburg / py-span-task
  Cross-platform working memory span task
  ☆44Updated 3 months ago
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆33Updated 2 years ago
• roarkbr / incremental-top-down-parser
  Automatically exported from code.google.com/p/incremental-top-down-parser
  ☆13Updated 9 years ago