odunbar
Senior Research Scientist for @CliMA at Caltech. P/O/SDEs, Derivative-free optimization, uncertainty quantification, machine learning, and more!
Caltech
Pinned Repositories
CalibrateEmulateSample.jl
Stochastic Optimization, Learning, Uncertainty and Sampling
ClimaAtmos.jl
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!
EnsembleKalmanProcesses.jl
Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
RandomFeatures.jl
Modular random feature approximation in Julia
ScikitLearn.jl
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Pkg.jl
Pkg - Package manager for the Julia programming language
EnsembleKalmanProcesses.jl
Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
FoosAndBars
PairPlots.jl
Beautiful and flexible vizualizations of high dimensional data
risk-networks
Code for risk networks: a blend of compartmental models, graphs, data assimilation and semi-supervised learning
odunbar's Repositories
odunbar/EnsembleKalmanProcesses.jl
Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
odunbar/FoosAndBars