A minimal String type for Julia that allows for efficient string representation and transfer

CurricularAnalytics.jl is a toolbox for studying and analyzing academic program curricula.

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Julia MathML parser

Rigid body dynamics simulation using maximal coordinates.

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

Signal logging and scoping for DifferentialEquations.jl simulations.

Algorithms for Learning Graphical Models

A tool to solve optimal control problem

Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.

Julia Package for Financial Monte Carlo Simulations

Learning Algebraic Varieties from Samples

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

Julia interface to MNE-Python via PythonCall

An energy system optimization model that is flexible, computationally efficient, and academically robust.

Iterators with message passing and feedback loops

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

Generate and perturb protein structural ensembles using the ExProSE algorithm

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal

Constrained and NoNlinear Optimizer of Least Squares

Analysis, processing, and simulation of data generated by scientific robots in the Ocean.

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

Plotly integration for Stipple.jl

Iterative hard thresholding for l0 penalized regression

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

Functions plot PowerModels networks

Building blocks for simple and advanced particle filtering in Gen.

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Flux reconstruction method for advection-diffusion type physics

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

One stop solutions for all things optimization

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

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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

Large scale convex optimization solvers in julia

Solvers for problems involving unsteady fluid flow

A Meta Package for Machine Learning Interpretation