madslupe

AAC_DDM_MDD

data from the paper Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder

dm

C++ Diffusion model toolset with Python and Matlab interfaces

hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

hddm_docker

dockerimage for running hddm in jupyter notebook

hddm_docker_rlddm_beta

hddm_nn_docker

docker image for hddm with neural net likelihoods

kabuki

Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.

myproject

nn_likelihoods

Code for a project that uses Neural Networks to learn Likelihood Functions for Cognitive Process Models

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

madslupe/AAC_DDM_MDD

data from the paper Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder

madslupe/hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

madslupe/dm

C++ Diffusion model toolset with Python and Matlab interfaces

madslupe/hddm_docker

dockerimage for running hddm in jupyter notebook

madslupe/hddm_docker_rlddm_beta

madslupe/hddm_nn_docker

docker image for hddm with neural net likelihoods

madslupe/kabuki

Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.

madslupe/myproject

madslupe/nn_likelihoods

Code for a project that uses Neural Networks to learn Likelihood Functions for Cognitive Process Models

madslupe/staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks