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https://github.com/cnellington/contextualized-notears

NO-TEARS as loss for multimodal Contextual Estimation Network

https://github.com/cnellington/contextualized-notears

Science Score: 10.0%

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    CITATION.cff file
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    Links to: arxiv.org
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    Low similarity (2.2%) to scientific vocabulary
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Repository

NO-TEARS as loss for multimodal Contextual Estimation Network

Basic Info
  • Host: GitHub
  • Owner: cnellington
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 152 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 5 years ago · Last pushed over 5 years ago

https://github.com/cnellington/contextualized-notears/blob/master/ 

### Contextualized NO-TEARS

Structure Learning from contextual variables. Implemented with NO-TEARS as loss for Contextual Estimation Networks (CENs) to predict network structure from epigenetic markers.

Based on 
Contextual Explanation Networks (https://arxiv.org/pdf/1705.10301.pdf)
DAGS with NO-TEARS (http://papers.nips.cc/paper/8157-dags-with-no-tears-continuous-optimization-for-structure-learning)

Owner

  • Name: Caleb Ellington
  • Login: cnellington
  • Kind: user
  • Location: Pittsburgh, PA
  • Company: Carnegie Mellon University

Computational Biology PhD Student, Carnegie Mellon University

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Dependencies

requirements.txt pypi
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