Become a sponsor to Robert R. Tucci
I run a small consulting company www.ar-tiste.xyz
I've written about half a dozen Python programs on causal Inference and Bayesian Networks plus a book called Bayesuvius on that subject.
My flagship Python software is called "Mappa Mundi" (MM). Here is a slide presentation of MM.
Another Python software that I've written is SCuMpy, which allows a user to model SCM (a type of DAG) either numerically or symbolically, either with or without feedback.
My ultimate goal is to apply Mappa Mundi to find causal pathways for diseases. My immediate next goals are: 1. to write my own version of Openie6 and place it under an MIT license. Currently, Mappa Mundi uses a version of Openie6 that does not permit commercial use without licensing from its authors. 2. to apply Mappa Mundi to the 1050 movie scripts at https://imsdb.com/.
Featured work
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artiste-qb-net/quantum-fog
Python tools for analyzing both classical and quantum Bayesian Networks
Jupyter Notebook 79 -
rrtucci/Bayesuvius
a visual dictionary of Bayesian Networks and Causal Inference.
TeX 82 -
rrtucci/mappa_mundi
Causal DAG Extraction from Text (DEFT)
Jupyter Notebook 58 -
rrtucci/JudeasRx
python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
Jupyter Notebook 24 -
rrtucci/scumpy
Library for doing both symbolic and numeric calculations for linear Structural Causal Models (SCM)
Jupyter Notebook 14 -
rrtucci/DAG_Lie_Detector
Python app for calculating a causal fit score for each element of a set of causal DAGs
Jupyter Notebook 2