charleywu / gridsearchLinks
Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2018). Generalization guides human exploration in vast decision spaces. Nature Human Behaviour. 2, 915–924. https://doi.org/10.1038/s41562-018-0467-4
☆22Updated 5 years ago
Alternatives and similar repositories for gridsearch
Users that are interested in gridsearch are comparing it to the libraries listed below
Sorting:
- ☆13Updated 6 years ago
- Toolbox enabling the model-free and model-based analysis of IGT data☆16Updated 3 years ago
- scripts for the computational modelling workshop at FLUX 2021☆16Updated 3 years ago
- RT distributions in R☆48Updated 3 years ago
- Code for creating online tasks to study human reinforcement learning☆9Updated 6 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆63Updated 3 weeks ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆15Updated 4 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated last year
- Machine learning for psychologists: A gentle introduction☆15Updated 6 years ago
- ☆31Updated last year
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆27Updated last year
- Computational modeling tutorials for cognitive science☆13Updated 2 years ago
- ☆17Updated 3 years ago
- Python Package which collects simulators for Sequential Sampling Models☆15Updated this week
- Run adaptive decision making experiments☆16Updated 3 years ago
- Hierarchical meta-d' model☆64Updated 10 months ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated 8 months ago
- Package to Train LANs (Likelihood approximation networks)☆12Updated last week
- computational and brain/behavior modeling☆32Updated 4 years ago
- dRiftDM☆11Updated last month
- Adaptive Design Optimization for Experimental Tasks☆43Updated 4 months ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆31Updated last year
- Teaching materials for BayesCog at Faculty of Psychology, University of Vienna☆143Updated 4 years ago
- Code and data for Zhang & Gläscher (2020)☆16Updated 4 years ago
- R package for creating a reproducible CogSci submission☆24Updated 2 years ago
- Reinforcement learning + drift-diffusion modeling☆37Updated 8 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago