Extension of MultivariatePolynomials to semialgebraic sets

-

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

Iterative hard thresholding for l0 penalized regression

Easily smooth your data in Julia

Phylogenetic trees in Julia

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

KaHyPar.jl is a Julia interface to the KaHyPar multilevel hypergraph partitioning package.

A Julia package for operations research subjects

A julia package to either fit the parameters of a specified equivalent electrical circuit to electrochemical impedance data, or to suggest a plausible circuit configuration for a given set of measurements (either through a comparison of circuits from the literature, or through an evolutionary algorithm approach).

A Meta Package for Machine Learning Interpretation

A Modern Binary Ephemeris Reader for Julia, in Julia.

An open-source toolkit for entropic data analysis

-

Flux reconstruction method for advection-diffusion type physics

A PowerModels.jl Extension Package for Exploratory Work

Julia package for general many-body exact diagonalization calculation.

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

Barycentric rational approximation and interpolation in one dimension.

One stop solutions for all things optimization

Iterators with message passing and feedback loops

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

Large scale convex optimization solvers in julia

Generate and perturb protein structural ensembles using the ExProSE algorithm

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal

Building blocks for simple and advanced particle filtering in Gen.

Constrained and NoNlinear Optimizer of Least Squares

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

Functions plot PowerModels networks

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

A package designed for simulating biological dynamics and control.

Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

-

Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

Lazy, parallelizable and composable group-by operations

Parallel tools for ITensors.jl.

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

Data generator based on copulas

Quantum-chemistry methods in Julia. Based on Rick Muller's PyQuante2