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Highly parallelized, blazing fast directory tree analyzer
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
⚱️ Lightweight, self-contained templating for Python 2 and 3, a la Dust templates
UART-USB based dust sensor viewer(and also logging) program by C#
Astronomical Dust Extinction
Modeling stellar photometry with "brute force" methods
We present the NASA Ames Legacy Mars Global Climate Model for public release. This model uses a modified version of the ARIES/GEOS dynamical core coupled with a set of Mars physics packages to simulate the martian climate. The physics packages include the treatment of surface properties, a ground temperature model, a planetary boundary layer scheme, water and carbon dioxide sublimation/condensation physics, a water ice cloud microphysical scheme, the use of a moment method for tracer transport, a semi-interactive dust tracking scheme, and a two-stream radiative transfer code based on correlated-k’s.
Bayesian Extinction And Stellar Tool
Python Package for Modelling Dust Evolution in Protoplanetary Disks.
Model Decomposition for Near- to Mid-Infrared Spectroscopy of Astronomical Sources
Precompile Dust templates
A lightweight Actor framework for Java 21 and above. Library of idiomatic Actors to create and manage millions of cooperating Java threads