Benchmark tools for solvers

A Julia package for computing processes related to plant ecophysiology and biophysics

Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

Learning Algebraic Varieties from Samples

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Generate plotly.js JSON in Julia -- nothing less, nothing more.

Exploring practical possibilities of approximating functions with frames rather than with a basis

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Distances between heterogeneous tabular data

A package for computing integrals over domains like they are defined in DomainSets.jl.

Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

Solvers for problems involving unsteady fluid flow

Abstraction layer for spanning factor graphs over various technologies

Iterators with message passing and feedback loops

Flux reconstruction method for advection-diffusion type physics

Phylogenetic trees in Julia

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

Generate and perturb protein structural ensembles using the ExProSE algorithm

Julia package for general many-body exact diagonalization calculation.

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Tools for simulating organism dispersal

A fast module for computing proximity queries between convex bodies in 2D/3D

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

One stop solutions for all things optimization

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Functions plot PowerModels networks

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Large scale convex optimization solvers in julia

Constrained and NoNlinear Optimizer of Least Squares

An open-source toolkit for entropic data analysis

Julia package for reading and writing the LAS lidar format.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

SeaPearl's pool of examples

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The Julia implementation of the generalised hierarchical Gaussian filter

Matrix pencil manipulations using Julia

Turbulence-resolving simulations of boundary-layer flows (DNS & LES)

A Julia package for adding different kinds of noise to signals like time series or images.

Method of Characteristics neutral particle transport code for reactor physics written in Julia.