ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
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Updated
Nov 16, 2024 - Julia
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data-assimilation
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🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
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Updated
Nov 15, 2024 - Julia
State estimation, smoothing and parameter estimation using Kalman and particle filters.
estimation
controls
particle-filter
dynamical-systems
control-systems
parameter-estimation
bayesian-inference
gnss
unscented-kalman-filter
data-assimilation
state-estimation
system-identification
virtual-sensors
kalman-filter
monte-carlo-methods
sequential-monte-carlo
virtual-sensing
extended-kalman-filter
guidance-navigation-control
prediction-error-method
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Nov 14, 2024 - Julia
Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl
abc
mcmc
data-assimilation
mcmc-sampler
approximate-bayesian-computation
likelihood-free-inference
monto-carlo
langevin-mc
simulation-based-inference
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Updated
Jul 30, 2022 - Julia
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