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    12 repositories

    • HSSM

      Public
      Development of HSSM package
      Python
      •
      Other
      •12•86•43•5•Updated Jan 24, 2025Jan 24, 2025

    • ssm-simulators

      Public
      Python Package which collects simulators for Sequential Sampling Models
      Jupyter Notebook
      •
      MIT License
      •12•12•19•2•Updated Jan 7, 2025Jan 7, 2025

    • LAN_pipeline_minimal

      Public
      Minimal version of the LAN pipeline for internal purposes
      Python
      •
      MIT License
      •1•1•1•1•Updated Dec 18, 2024Dec 18, 2024

    • LANfactory

      Public
      Package to Train LANs (Likelihood approximation networks)
      Jupyter Notebook
      •
      MIT License
      •3•11•7•2•Updated Dec 8, 2024Dec 8, 2024

    • hddm-wfpt-feedstock

      Public
      A conda-smithy repository for hddm-wfpt.
      BSD 3-Clause "New" or "Revised" License
      •2•0•0•0•Updated Sep 20, 2024Sep 20, 2024

    • hssm-feedstock

      Public
      A conda-smithy repository for hssm.
      BSD 3-Clause "New" or "Revised" License
      •3•0•0•0•Updated Jun 21, 2024Jun 21, 2024

    • staged-recipes

      Public
      A place to submit conda recipes before they become fully fledged conda-forge feedstocks
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •5.1k•0•0•0•Updated May 16, 2024May 16, 2024

    • hddm-wfpt

      Public
      Cython Likelihoods for the basic Drift Diffusion Model
      Cython
      •
      MIT License
      •1•1•0•0•Updated Apr 18, 2024Apr 18, 2024

    • task-effort

      Public
      Balloon effort task coded in jsPsych, React, and Electron
      JavaScript
      •
      MIT License
      •6•2•14•3•Updated Oct 26, 2022Oct 26, 2022

    • lans

      Public
      Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •1•14•0•0•Updated Apr 30, 2021Apr 30, 2021

    • SAGEPreP

      Public
      SAGEPrep: Semi-Automated GUI-based EEG Preprocessing. The semi-automated approach, using FASTER methodology, is designed to streamline manual review and target specific causes of artifact in high-density EEG data.
      MATLAB
      •1•0•0•0•Updated Mar 4, 2020Mar 4, 2020

    • TenSimpleRulesModeling

      Public
      Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
      MATLAB
      •
      MIT License
      •35•1•0•0•Updated Dec 9, 2019Dec 9, 2019