Python Package which collects simulators for Sequential Sampling Models
☆18Updated this week
Alternatives and similar repositories for ssm-simulators
Users that are interested in ssm-simulators are comparing it to the libraries listed below
Sorting:
- Package to Train LANs (Likelihood approximation networks)☆13Feb 10, 2026Updated 2 weeks ago
- dRiftDM☆13Jan 11, 2026Updated last month
- Development of HSSM package☆109Updated this week
- 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
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated last year
- Fast Implementations of the Diffusion Decision Model's PDF☆17Aug 1, 2024Updated last year
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆21Jan 27, 2026Updated last month
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 months ago
- Public repository for the Introduction to modeling cognitive processes book.☆45Feb 8, 2026Updated 3 weeks ago
- ☆29Updated this week
- Official Implementation of RRR Decoder☆14Oct 11, 2025Updated 4 months ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆13Oct 23, 2024Updated last year
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Dec 21, 2018Updated 7 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Nov 1, 2023Updated 2 years ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- A unified interface for simulating and evaluating sequential sampling models in Julia.☆34Updated this week
- Metacognitive efficiency modelling in Python.☆19Nov 8, 2023Updated 2 years ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Dec 14, 2020Updated 5 years ago
- ☆16Oct 17, 2024Updated last year
- Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis☆29Jul 22, 2025Updated 7 months ago
- Reverse engineering of Metacognition toolbox☆18Feb 18, 2026Updated last week
- An R package for easy and flexible Bayesian Measurement Modeling☆17Feb 23, 2026Updated last week
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- ☆17Jul 20, 2025Updated 7 months ago
- R package for permutation test in linear model with nuisances variables☆14Aug 25, 2024Updated last year
- Benchmark denoising strategies available from fmriprep.☆16Dec 18, 2025Updated 2 months ago
- Repository for the hmp python package☆50Feb 18, 2026Updated last week
- Diffusion Model simulation and first-passage time densities in Julia☆21May 29, 2020Updated 5 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 4 years ago
- Reaction Time Distributions - An Interactive Overview☆45Sep 28, 2021Updated 4 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Dec 20, 2020Updated 5 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- ☆20Nov 25, 2016Updated 9 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆33Jun 25, 2023Updated 2 years ago
- Estimate Parameters for Arbitrary R Functions using 'Stan'☆27Jan 25, 2026Updated last month