Skip to content

Notebooks and Scripts for Uncertainty Quantification in ML models

Notifications You must be signed in to change notification settings

NicholasARossi/UQ_methods

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 

Repository files navigation

UQ_methods

Notebooks and Scripts for Uncertainty Quantification in ML models

Each of the .ipynb files in the notebooks folder walks you through one application of a UQ method and leverages some pre-written functions from Utility_Scripts to do so.

There are six primary methods that these notebooks explore (along with some WIPs): 0. Ensemble methods

  1. Training on Uncertainty
  2. PyMC3 metthods
  3. Tensorflow Probability (Regression) (WIP)
  4. Tensorflow Probability (Classification) (WIP)
  5. Using Dropout in NNs

About

Notebooks and Scripts for Uncertainty Quantification in ML models

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published