Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations

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Parameter estimation under uncertainty.

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Tensor decomposition algorithms

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BaytesSMC.jl is a library to perform SMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl. Kernels that are defined in BaytesMCMC.jl and BaytesFilters.jl can be used inside this library.

A library to perform particle MCMC proposal steps for parameter in a `ModelWrapper` struct, see [ModelWrappers.jl](https://github.com/paschermayr/ModelWrappers.jl).

Optimization library for Baytes modules

Python extensions relating to Caesar.jl

A library to perform MCMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl.

Viral haplotype calling by linkage disequilibrium

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A library to perform particle filtering for one parameter in a `ModelWrapper` struct.

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Wrappers to differentiate `ModelWrapper` structs, see ModelWrappers.jl.

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Data structures for Particle-in-Cell codes

A Julia package for multiple kernel learning based one-class support vector machine.

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Accessing the structure of the Vulkan API

Pilot library for NLP convolutional nets in Julia

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A Julia Package for high performing parallelized computation of high dimensional Voronoi Meshes and Finite Volume problems

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This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Compute Laguerre-Voronoi diagrams in Julia

Visualization for the ConstrainedDynamics.jl package.

Julia simulation package for TKTD models

NLPModel for evaluating the objective and constraint in one step.

Live graphics with Luxor and Gtk.

Tools for working with first-passage time distributions for continuous-time, discrete-state Markov processes

Explores representations based on bag words