Alternatives and similar repositories for predictive_representations

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

• sjgershm / ccnl-fmri
  fmri analysis tools
  ☆20Updated 4 years ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago
• idamomen / MIND2019_IM_RL_SR
  Tutorials for MIND2019
  ☆16Updated 5 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 2 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 5 years ago
• mpc-ucl / emfit
  ☆25Updated last year
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated 2 years ago
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 4 years ago
• sjgershm / mfit
  Simple model-fitting tools
  ☆59Updated 6 years ago
• AnneCollins / TenSimpleRulesModeling
  Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
  ☆100Updated 5 years ago
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆42Updated 4 years ago
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆70Updated last year
• sjgershm / exploration_uncertainty
  Analysis code for multi-armed bandit task
  ☆11Updated 5 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
• Summer-MIND / mind_2018
  ☆39Updated 7 years ago
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆13Updated 2 years ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆17Updated 7 years ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆17Updated 3 years ago
• poldrack / talks-RunningALab
  talks on running a lab
  ☆18Updated 2 years 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
• ClaireSmid / Model-free_Model-based_Workshop
  This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop
  ☆17Updated 3 years ago
• pauljaffe / task-dyva
  ☆16Updated 10 months ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆16Updated 5 years ago
• lionel-rigoux / tutorial-bayesian-inference
  A collection of simple implementation of various inference methods
  ☆48Updated 3 years 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
• Summer-MIND / mind_2017
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics
  ☆33Updated 6 years ago
• ContextLab / CDL-tutorials
  Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
  ☆16Updated 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