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brendanelestrange/README.md

me

I'm currently working on using persistent homology on molecules to extract more chemically accurate features for machine learning applications. In addition to this work I am also doing spectral graph analysis for computational biology uses. I'm also somewhat interested into quant projects (only for fun).

Other than that I'm just generally interested at using applied math to solve complex modeling problems. If you have any fun probabilistic or deterministic problems, that you think would be fun to solve with me, let me know!

"Building" tools to do patient science. : )

If you have any questions please reach out to me at brenlestrange05@gmail.com

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  1. agl_package agl_package Public

    This speeds up the original AGL Score algorithm simply by adding multithreading through C++ backend. It then uses pybind11 to use easily integrate this into common usage ecosystems.

    Jupyter Notebook

  2. agl_mat_package agl_mat_package Public

    This code is designed to apply bipartite graph theory to materials science problems. In particular this script is targeting transition metal complexes.

    Jupyter Notebook

  3. fast_acdc fast_acdc Public

    C++ Implementation of ACDC Algorithm used in the winning solution for the VNC Challenge.

    C++