Repository for fitting Drift-Diffusion models with identifiable within-trial noise parameters in Python using BayesFlow
☆10Apr 30, 2025Updated last year
Alternatives and similar repositories for bayesflow_nddms
Users that are interested in bayesflow_nddms are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆19Jul 4, 2024Updated 2 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆15Aug 18, 2023Updated 3 years ago
- dRiftDM☆15Aug 12, 2026Updated 2 months ago
- Open database for inhibition tasks☆10Sep 22, 2023Updated 3 years ago
- Python Package which collects simulators for Sequential Sampling Models☆24Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆22Updated this week
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆35Nov 1, 2023Updated 2 years ago
- RoBMA R package for estimating robust Bayesian meta-analyses☆13Updated this week
- Package to Train LANs (Likelihood approximation networks)☆17Oct 20, 2026Updated last week
- 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
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- Programming in Psychological Science course. This repository contains materials for a R + Python intro course.☆17May 3, 2023Updated 3 years ago
- A simple R package for calculating (meta-) SDT measures☆19Feb 5, 2024Updated 2 years ago
- An efficient framework for fitting and comparing hierarchical Bayesian cognitive models☆48Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Jul 28, 2026Updated 3 months ago
- RT distributions in R☆52Sep 8, 2026Updated last month
- A Docker workflow to work reproducibly with papaja in RStudio☆10Nov 16, 2021Updated 4 years ago
- Official Implementation of RRR Decoder☆14Mar 30, 2026Updated 7 months ago
- Collection of publicly available cognitive task datasets☆16Apr 17, 2024Updated 2 years ago
- R package for building Reinforcement Learning (RL) models for Two-Armed Bandit-like (TAB) paradigms.☆11Mar 13, 2026Updated 7 months ago
- ☆13Mar 24, 2024Updated 2 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated 2 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Material of the European Summer School on Computational and Mathematical Modeling of Cognition☆11Jul 19, 2022Updated 4 years ago
- PriorDB aims to make choosing a prior for a Bayesian model easier☆14Sep 15, 2026Updated last month
- splithalf☆11Aug 11, 2022Updated 4 years ago
- ☆15Jun 1, 2026Updated 4 months ago
- Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances☆14Apr 10, 2025Updated last year
- Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia☆14Sep 3, 2024Updated 2 years ago
- reprodICU is a freely accessible pipeline, streamlining the creation of a harmonized critical care dataset, including data from up to 470…☆19Updated this week
- Cognitive Models for Subjective Scales and Decision Making Tasks in R☆25Oct 20, 2026Updated last week
- A pkgdown template for the R Markdown Ecosystem☆25Mar 28, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- HeteroRC: Decoding latent information from dynamic neural responses with interpretable heterogeneous reservoir computing☆21Jun 5, 2026Updated 4 months ago
- A Python library for simulation and Bayesian estimation of models with time-varying parameters.☆23Sep 29, 2026Updated last month
- R package for fitting hierarchical multinomial processing tree (MPT) models☆13May 7, 2026Updated 5 months ago
- G-transformer for conditional average potential outcome estimation over time☆12Sep 26, 2024Updated 2 years ago
- Fast Implementations of the Diffusion Decision Model's PDF☆19Aug 1, 2024Updated 2 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…☆15Jan 27, 2021Updated 5 years ago