Alternatives and similar repositories for PIPS_course

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

• ampl-psych / EMC2
  ☆23Updated last week
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆29Updated 5 months 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
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 5 years ago
• lei-zhang / talks_and_workshops
  ☆13Updated last month
• DominiqueMakowski / easyRT
  Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R
  ☆11Updated 2 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
• 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
• neurokidslab / eeg_preprocessing
  Developmental team, Neuroimaging Cognitive Unit, Neurospin Center, Paris
  ☆14Updated 6 months ago
• ericcfields / FMUT
  Factorial Mass Univariate ERP Toolbox (FMUT)
  ☆32Updated last week
• fahrenfort / ADAM
  the Amsterdam Decoding And Modeling (ADAM) toolbox
  ☆41Updated last year
• coolspiderghy / Python-Workshop-SuZhou
  A place where all demo code and data are stored.
  ☆14Updated 4 years ago
• jashubbard / itrackR
  an R package for high-level analysis of eyetracking data
  ☆12Updated 8 years ago
• Eelbrain / Alice
  Eelbrain pipeline to analyze public Alice EEG dataset
  ☆29Updated 8 months ago
• psych-zhangguangyao / Power-analysis-of-HLM-LMM
  Estimate the power of linear mixed model
  ☆14Updated 4 years ago
• dengemann / meeg-preprocessing
  Preprocessing tools for MEG/EEG
  ☆14Updated 6 years ago
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆13Updated 2 years ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆17Updated 3 years ago
• jozsarato / bayescogdat
  python port: An Introduction to Bayesian Data Analysis for Cognitive Science
  ☆15Updated last year
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆35Updated 3 years ago
• rystoli / PyMVPAw
  Package wrapper with additions to PyMVPA http://www.pymvpa.org/ https://github.com/PyMVPA/PyMVPA
  ☆13Updated 4 months ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆17Updated last year
• BayetLab / infant-EEG-MVPA-tutorial
  ☆22Updated 3 years ago
• visionlab / MemToolbox
  A MATAB toolbox for modeling visual working memory
  ☆23Updated 7 months ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• lei-zhang / BayesCog_Part1
  Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).
  ☆15Updated last year
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 7 years ago
• phildean / SPM_fMRI_Example_Pipeline
  Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis
  ☆15Updated 6 years ago
• LinaTeichmann1 / BFF_repo
  Repo for "An empirically-driven guide on using Bayes Factors for M/EEG decoding"
  ☆13Updated 2 years ago
• m-guggenmos / megmvpa
  MEG MVPA Tutorial
  ☆32Updated 4 years ago