Skip to content

Experimental codebase supporting the Master's thesis "Causal Discovery with Long Short-Term Memory"

Notifications You must be signed in to change notification settings

rjbruin/causal-discovery-with-lstm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Thesis Causality and Deep Learning

Project information

This project is a thesis research project by Robert-Jan Bruintjes (R.Bruintjes@uva.nl).

This project is supervised by Efstratios Gavves and Joris Mooij.

Contents

  • Results
  • Repository design choices

Results

Results can be found in the Research Journal on Google Drive. The Research Journal is only available to project supervisors at the moment.

Repository design choices

Data in repository

For this project we choose to include the datasets that experiments are run on in the repository. This is to ensure that supervisors and collaborators can easily run the experiments by cloning the repository. Note that this is only possible because the datasets are quite small in terms of disk space required.

About

Experimental codebase supporting the Master's thesis "Causal Discovery with Long Short-Term Memory"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published