Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
☆33Nov 1, 2023Updated 2 years ago
Alternatives and similar repositories for rlssm
Users that are interested in rlssm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Recipes for cognitive modeling using Stan [work in progress]☆13Sep 17, 2025Updated 6 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated 2 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- Package to Train LANs (Likelihood approximation networks)☆14Mar 20, 2026Updated last week
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 5 months ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Dec 21, 2018Updated 7 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- Material of the European Summer School on Computational and Mathematical Modeling of Cognition☆11Jul 19, 2022Updated 3 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆14Aug 18, 2023Updated 2 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 4 years ago
- Development of HSSM package☆112Mar 20, 2026Updated last week
- Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).☆15Dec 4, 2023Updated 2 years ago
- The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…☆14Jan 27, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A unified interface for simulating and evaluating sequential sampling models in Julia.☆34Mar 16, 2026Updated last week
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- dRiftDM☆15Jan 11, 2026Updated 2 months ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆15May 20, 2021Updated 4 years ago
- Fast Implementations of the Diffusion Decision Model's PDF☆17Aug 1, 2024Updated last year
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆256Mar 23, 2026Updated last week
- Reaction Time Distributions - An Interactive Overview☆46Sep 28, 2021Updated 4 years ago
- Paper repository for "Ordered Beta Regression" (Kubinec 2022). For R package ordbetareg, see Github repo www.github.com/saudiwin/ordbetar…☆16Jun 27, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Diffusion Model simulation and first-passage time densities in Julia☆21May 29, 2020Updated 5 years ago
- Programming in Psychological Science course. This repository contains materials for a R + Python intro course.☆16May 3, 2023Updated 2 years ago
- Python Package which collects simulators for Sequential Sampling Models☆20Updated this week
- Ten simple rules for the computational modeling of behavioral data☆15Aug 17, 2022Updated 3 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- Open database for inhibition tasks☆10Sep 22, 2023Updated 2 years ago
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- A drift-diffusion modeling (DDM) framework for Python3☆17Jul 3, 2023Updated 2 years ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆21Jan 27, 2026Updated 2 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Apr 5, 2022Updated 3 years ago
- Tools for serving and storing data from online experiments.☆18Jul 15, 2025Updated 8 months ago
- An introduction to Scientific Computing with Python, an advanced course for computer science students at IDC Herzliya☆22Jun 26, 2022Updated 3 years ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆33Dec 15, 2025Updated 3 months ago
- Code and data for Zhang & Gläscher (2020)☆16Aug 27, 2020Updated 5 years ago
- Run adaptive decision making experiments☆16Nov 9, 2021Updated 4 years ago
- Apply surface laplacian transform to mne Epochs objects☆16Aug 3, 2023Updated 2 years ago