Tutorials for quantitative modeling

This repository provides tutorials for quantitative modeling using a variety approaches. In addition to the tutorials, you can review slides from the lecture that accompanied the initial presentation of these tutorials in the presentations folder. You can view a recording of the presentation here.

Setup Instructions

1. Install miniconda if you don't already have conda
2. Install git if you don't already have git
3. Clone this repository: git clone https://github.com/nimh-comppsych/qm_tutorials.git
4. Set-up a conda environment and install packages:

   conda create -p ./env python numpy matplotlib pandas scipy jupyter notebook;
   conda activate ./env
   conda install pytorch torchvision -c pytorch
   pip install pyro-ppl
   mkdir code
   cd code
   git clone https://github.com/compmem/RunDEMC
   pip install -e ./RunDEMC
   cd ..

5. Start a juypter notebook server: jupyter notebook
6. Open up the notebooks in the notebooks directory

Contributors (in alphabetical order):

Adam Fenton, Computational Memory Lab, University of Virginia
Dylan Nielson, Section on Clinical and Computational Psychiatry, National Institutes of Mental Health Intramural Research Program
Dipta Saha, Section on Clinical and Computational Psychiatry, National Institutes of Mental Health Intramural Research Program
Per Sederberg, Computational Memory Lab, University of Virginia
Charles Zheng, Machine Learning Team, National Institutes of Mental Health Intramural Research Program