Tools for working with ITS_LIVE glacier velocity data

Graphical User Interface for MAGEMin, which runs in your web-browser.

Simulate evolutionary biology models with Gillespie algorithm.

Full field solutions of Poisson and Stokes problems in 1D, 2D and 3D. Full field solutions to other problems are welcome!

Physical vector and particle types for Julia

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Fast computation of local (Pearson) correlation coefficients for arbitrary size tensors of real and complex numbers.

Life is beautiful when your application log looks nice!

Time zone aware DateTimes, in UTC only

Locally weighted regression solver for the GeoStats.jl framework

RELOG: Reverse Logistics Optimization

A Julia library to resample timeseries (from TimeSeries.jl)

Julia Implementation of Integral Arrays

Alpha stable and sub-Gaussian distributions in Julia

Extension of PowerSimulations.jl to model Hydropower devices

Tools for creating, moving, and discretizing rigid bodies

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Generates a cellular automata animation of the given GitHub repository.

A Julia package for modelling Algorithmic Recourse Dynamics.

Solutions for combinatorial problems using symbolic methods.

Voronoi diagrams in N dimensions using an improved raycasting method.

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

Utilities to read/write extended GSLIB files in Julia

Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

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Package for modeling glycolysis activity

This is a Julia library for processing ESA Sentinel 2 satellite data.

Calculates multidimensional functions faster by exploiting their separability.

Geometry optimization for molecular simulation

Provides a general framework for implementing and performing Kernel Density Estimation

Symmetry-allowed k ⋅ p expansions

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Variable Selection with Knockoffs

Julia package for football analytics

Definitions of the Julia types for simulating an ISO's market clearing.

Nonlinear diffusion problems in Julia

A Julia package for computing singular integrals

A Makie theme

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Http://proceedings.mlr.press/v119/bruinsma20a.html