☆16Oct 17, 2024Updated last year
Alternatives and similar repositories for task-dyva
Users that are interested in task-dyva are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Oct 25, 2022Updated 3 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆34Jun 25, 2023Updated 2 years ago
- Jupyter Book for PSYC 347-01 (Computational Models of Human Social Behavior and Neuroscience) - Instructor: Shawn A Rhoads☆20Feb 1, 2022Updated 4 years ago
- ☆10Apr 5, 2022Updated 4 years ago
- Reverse engineering of Metacognition toolbox☆19Apr 1, 2026Updated last month
- 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.
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Deep variational Bayes filter in julia using Flux☆14Dec 13, 2020Updated 5 years ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆88Oct 16, 2025Updated 6 months ago
- ☆15Mar 21, 2024Updated 2 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- ☆11Nov 29, 2020Updated 5 years ago
- Preferential Subspace Identification Algorithm☆57Feb 7, 2026Updated 2 months ago
- onavg is a cortical surface template that was created based on high-quality structural scans of 1,031 brains from OpenNeuro☆15Feb 8, 2024Updated 2 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Aug 23, 2019Updated 6 years ago
- 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.
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- ☆18Mar 27, 2021Updated 5 years ago
- Package to Train LANs (Likelihood approximation networks)☆15Mar 31, 2026Updated last month
- Recurrent state-space models for decision making☆33Oct 25, 2022Updated 3 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Mar 19, 2025Updated last year
- Public repository for the Introduction to modeling cognitive processes book.☆46Feb 8, 2026Updated 2 months ago
- Code for Galgali et al, 2023☆14Jan 11, 2023Updated 3 years ago
- HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).☆300Apr 14, 2024Updated 2 years ago
- Official Implementation of RRR Decoder☆14Mar 30, 2026Updated last month
- 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.
- ☆26Aug 20, 2024Updated last year
- dRiftDM☆15Jan 11, 2026Updated 3 months ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆17Dec 14, 2020Updated 5 years ago
- RT distributions in R☆50Jan 4, 2022Updated 4 years ago
- PCM toolbox - implementation in Python☆16Apr 15, 2026Updated 2 weeks 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
- Functions for reading and pre-processing eye tracking data.☆52Nov 6, 2025Updated 5 months ago
- ☆34Updated this week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Metacognitive efficiency modelling in Python.☆21Nov 8, 2023Updated 2 years ago
- Models of Sequential Decision-Making☆53Jan 10, 2025Updated last year
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆57Aug 18, 2023Updated 2 years ago
- Implementation of Deep Variational Bayes Filter☆13Aug 9, 2019Updated 6 years ago
- Reaction Time Distributions - An Interactive Overview☆46Sep 28, 2021Updated 4 years ago
- Data and code for Emotion Prediction Errors☆10Feb 22, 2022Updated 4 years ago
- matplotlib mesh surface plotter☆30Jul 25, 2025Updated 9 months ago