Skip to content

Latest commit

 

History

History
16 lines (13 loc) · 418 Bytes

README.md

File metadata and controls

16 lines (13 loc) · 418 Bytes

Deep Neural Dynamic Bayesian Networks

Python code of the paper Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling by Carlos Loza and Laura Colgin.

Main class mimics a tensorflow probability distribution with sampling and scoring (i.e. log-probabilities) functionalities.

Requirements

  • Python 3.8 or later
  • tensorflow
  • tensorflow probability
  • sklearn
  • numpy
  • pandas
  • scipy