FMIZoo.jl is a collection of testing and example FMUs (fmi-standard.org) for the Julia libraries FMI.jl and FMIFlux.jl.

Estimating the fractal dimension of timeseries or multidimensional datasets

Fractional order systems toolbox in Julia.

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

Allow to use BifurcationKit.jl with Gridap.jl

A computational toolbox for level set-based topology optimisation in Julia

Generate population growth rate maps from spatial data

Tools for solving partial differential equations by immersing surfaces and their operations in Cartesian grids

The highly versatile synthetic data generator

Package for different inducing points selection methods

Information Theoretic Inequalities

Efficient inverse statistical mechanical algorithms to generate effective potentials or configurations from pair correlation functions or structure factors.

JudiLing: An implementation for Linear Discriminative Learning in Julia.

Bayesian bi-clustering of categorical data

Extending `Distributions.jl` to include Landau Distribution based on CERN ROOT's implementation.

Local anisotropies and nonstationary spatial processes for the GeoStats.jl framework

Julia package to generate, estimate, and forecast long memory processes

A toolkit for analyzing, generating, and constructing both continuous and discrete markov chains.

Metric Gaussian Variational Inference

Jiffy image display for image reconstruction

Connecting MLJ and MLFlow

Julia package for performing MPI measurements

Newick formatted (phylogenetic) trees

Core algorithms and data for X-ray microanalysis calculations

Next Generation Genomic Prediction Tools

Direct solution of the Chemical Master Equation in Julia.

Plotting focused library for OpenStreetMap data

Optical propagation calculation

Massively-parallel exact nearest neighbor search in Julia.

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Trust-region methods with partitioned quasi-Newton approximations

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Nonlinear solver bindings for the SciML Interface

StaticArray style ranges

Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"

A Julia package for building production-ready measures (metrics) for statistics and machine learning

Construct a mapping from the unit circle to a closed polygon.

Simulators for POMDPs.jl

Useful extensions of the POMDPs.jl interface