DynamicQuantities.Jl
JuliaPhysics
Efficient and type-stable physical quantities in Julia
OPENAGENTSKILL / DIRECTORY
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JuliaPhysics
Efficient and type-stable physical quantities in Julia
arriemeijer-creator
AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and lat…
glotzerlab
Powerful, efficient particle trajectory analysis in scientific Python.
Marsilea-viz
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
llnl
Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development
Alpine-DAV
A flyweight in situ visualization and analysis runtime for multi-physics HPC simulations