alexanderfengler / hddmnn_tutorial

Code for a Tutorial on using the Neural Network Extension of HDDM

HDDM-LAN(nn) Tutorial

Welcome to the HDDM-LAN(nn) Tutorial. Execute the instructions below to follow the tutorial in your own google colab notebook. Slides for the theory part are in the file hddm_nn_tutorial_slides.pdf.

NOTE:

The content of this repository has migrated to the main HDDM repository now. Please find the lan_tutorial.ipynb notebook by following the respective link. (Below instructions also now link to the main HDDM repository)

RUN THE TUTORIAL (colab)

To directly run the main tutorial (from the main repository) in a google colab notebook, please click this link.

After an initial discussion of HDDM features we will illustrate some end-to-end pipelines for likelihood approximation.

1. Going from simulators to inference with HDDM using LANs: click here
2. Going from simulators to inference with HDDM using MNLEs: click here

We recommend you to check this basic HDDM tutorial as well (however we will probably not get to it during our workshop).

RUN THE TUTORIAL (via main repo)

Otherwise you can also simply clone the HDDM repository and access the tutorials directly from the examples folder on your local machine. (Note that installation of all necessary python packages can be tricky, depending on your local setup.)