BHA analysis using PtFEM (currently used as a limited check on BHAtp's FEM results).

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Time-domain solver for the electromagnetic fields produced by arbitrary (electric and magnetic) charges and currents.

Multi-trajectory and local search methods in Nonconvex.jl

Standard environments for benchmarking the performance of RL algorithms.

Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.

A toolkit for progeny testing simulation

Standard data cleaning tools prior to generating BEAST xml file

Julia interface for implementing REST APIs available on the CDSA (Cancer Slide Digital Archive) portal for managing histological images available from TCGA. The library includes functions for managing image processing algorithms for cell segmentation, constructing the adjacency matrix, tessellation process and interfacing with J-Space.jl.

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

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.

Parameter estimation under uncertainty.

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

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

Reimplementation of a truncated multivariate distribution with fast, exact minimax-tilting based sampling.

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

Some functions useful for small computations

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

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Simple predictive models for tumor growth, and tools to apply them to clinical data

Bayesian regression models for size-and-shape data

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Kahuna.jl

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Kaitai Struct: runtime for Julia

Basic tools for working with Kepler 2-body orbits

Prairie technology microscopy format reader

Base data analysis methods for Paliquant

Julia wrapper for ABIDES-Markets

Tools for GPs with Kronecker product kernels.

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.

Highly optimized K-SVD implementation in Julia, with several parallelization techniques available.

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