Simulate Evidence Accumulation Models in Python
☆23Nov 16, 2021Updated 4 years ago
Alternatives and similar repositories for Evidently
Users that are interested in Evidently are comparing it to the libraries listed below
Sorting:
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Dec 21, 2018Updated 7 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- fit response shapes from signal time-courses☆12Apr 28, 2025Updated 10 months ago
- Package to Train LANs (Likelihood approximation networks)☆13Feb 10, 2026Updated 3 weeks ago
- Estimate the power of linear mixed model☆15Oct 14, 2020Updated 5 years ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- computational and brain/behavior modeling☆32Dec 14, 2025Updated 2 months ago
- A simple JavaScript library that uses jsPsych and Google Sheet for running behavioral experiments online☆15Jun 8, 2021Updated 4 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆13Sep 17, 2025Updated 5 months ago
- Ten simple rules for the computational modeling of behavioral data☆15Aug 17, 2022Updated 3 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Oct 30, 2017Updated 8 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
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Apr 5, 2022Updated 3 years ago
- (Matlab) code for the probabilistic brain decoding algorithms "PRINCE" and "The Algorithm Formerly Known As Prince"☆21Mar 27, 2024Updated last year
- General Analysis Functions☆15Oct 28, 2016Updated 9 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 4 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 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 self-contained Python workbench for scientific programming, data mining, maths, stats and visualization☆65Oct 30, 2014Updated 11 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆24May 6, 2018Updated 7 years ago
- A jsPsych plugin for psychophysics☆59Jan 23, 2026Updated last month
- 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
- An R software package to write, train, tune, test, and compare machine-learning models of cognition☆26Dec 2, 2022Updated 3 years ago
- This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.☆31Feb 18, 2024Updated 2 years ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆33Dec 15, 2025Updated 2 months 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
- A unified interface for simulating and evaluating sequential sampling models in Julia.☆34Feb 25, 2026Updated last week
- MANOVA.RM☆11Feb 7, 2025Updated last year
- Differential evolution in R☆30Nov 9, 2022Updated 3 years ago
- An R package implementing computational models of Eriksen flanker task performance.☆10Sep 19, 2025Updated 5 months ago
- A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.☆10Dec 17, 2021Updated 4 years ago
- Repo for the paper "A tutorial on open-source large language models for behavioral science"☆41Sep 2, 2024Updated last year
- MZ2SYNTH - a software synthesizer modellled on Yevgeny Murzin's ANS synthesizer☆20Updated this week
- Repository for the hmp python package☆51Feb 18, 2026Updated 2 weeks ago
- Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design☆10Sep 12, 2019Updated 6 years ago