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Welcome to my GitHub!

I dug this comment up while attempting to compile an ancient computational chemistry program written in Fortran 77:

The following notes are discoveries made while attempting to figure out how this mess works. They are here so that you, poor soul that you are, don't have to reinvent the wheel (well, at least not the whole thing).

Hopefully my projects don't cause you anywhere near this level of frustration.

Jackson Burns's GitHub stats

Jackson Burns's Projects

aimsim icon aimsim

A Python toolbox to work with molecular similarity

arclots icon arclots

Predicting the selectivity of aryl-chloride/tosylate with ML

astartes icon astartes

Better Data Splits for Machine Learning

certassist icon certassist

JavaScript interface to ca.mit.edu and ca.csail.mit.edu

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

cpp-projects icon cpp-projects

compiled binaries of various projects for my C++/data structures class

crow icon crow

Crow Really Outta Work - User Friendly GUI for High Throughput Experimentation Automation

fastprop icon fastprop

Fast Molecular Property Prediction with mordredcommunity

gpu4pyscf icon gpu4pyscf

A plugin to use Nvidia GPU in PySCF package

hamdb icon hamdb

Heavy Metals and Monomers Database

matlab-start-to-finish icon matlab-start-to-finish

Lectures, code examples, and practice questions for teaching MATLAB for applications in undergraduate chemical engineering classes.

molfeat icon molfeat

molfeat - the hub for all your molecular featurizers

nequip icon nequip

NequIP is a code for building E(3)-equivariant interatomic potentials

padelpy icon padelpy

A Python wrapper for PaDEL-Descriptor software

presentable icon presentable

Providing a Prettier Confusion Matrix for your Command Line

py2opsin icon py2opsin

Simple Python interface to OPSIN: Open Parser for Systematic IUPAC nomenclature

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