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18337-1

18.337 - Parallel Computing and Scientific Machine Learning

acop13_nlme_workshop

Pumas NLME workshop material for ACoP 13

aileetcode.jl

algebraicpetri.jl

Build Petri net models compositionally

aqua.jl

Auto QUality Assurance for Julia packages

arrayinterface.jl

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

askemscenario2.jl

badad.jl

basic_cpp_with_deps

bevy_midi

Send and receive MIDI data to and from bevy using DAWS or MIDI Controllers

biomodelsanalysis.jl

biomodelsloader.jl

bioxmlscimltest.jl

we can bikeshed names all day

blender_scripts

journey into blender scripting

booleangeneregulatorynetworks

boolin.jl

boolean function helpers

bugreporting.jl

Streamlines bug reporting for julia

career_preparation

depr - see https://github.com/anandijain/learning

cas2.rs

pantelides algorithm for DAE index reduction

cas3.rs

a minimal implementation of a mathematica kernel

cas5.rs

cas6.rs

cas7.rs

cas8.rs

cas3 using wolfram-expr as a dep

catalyst.jl

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

catlabhypergraphs.jl

cellmlmodelrepository.jl

cellmltoolkit.jl

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

chemicaloftheday.jl

codebyhand

using a pen tablet to write code