Alternatives and similar repositories for ibs

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

• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated last year
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago
• 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…
  ☆27Updated last year
• pauljaffe / task-dyva
  ☆16Updated 8 months ago
• sjgershm / exploration_uncertainty
  Analysis code for multi-armed bandit task
  ☆11Updated 5 years ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆16Updated 7 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 4 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated last year
• payampiray / VKF
  ☆15Updated 5 years ago
• sjgershm / ccnl-fmri
  fmri analysis tools
  ☆20Updated 3 years ago
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆17Updated 11 months ago
• xjwanglab / pyrl
  ☆19Updated 8 years ago
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆12Updated 2 weeks ago
• lnccbrown / ssm-simulators
  Python Package which collects simulators for Sequential Sampling Models
  ☆13Updated this week
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆30Updated 10 months ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 4 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆44Updated this week
• JohnGriffiths / mne-dcm
  Dynamic Causal Modelling for MNE and the nipy ecosystem
  ☆21Updated 7 years ago
• idamomen / predictive_representations
  ☆13Updated 6 years ago
• jdiedrichsen / pcm_toolbox
  Pattern Component Modelling toolbox for multivariate analysis
  ☆32Updated 3 months ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆16Updated 3 years ago
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆17Updated last year
• csmfindling / learning_variability
  ☆12Updated 6 years ago
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆15Updated 8 years ago
• mpc-ucl / emfit
  ☆25Updated 10 months ago
• lovelabUCL / dimensionality
  Estimating the functional dimensionality of neural representations
  ☆19Updated 3 years ago
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 7 months ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago