Deconvolution algorithms popular in Cherenkov astronomy

Robust SVD and PCA in Julia

Built-in solvers for the GeoStats.jl framework

For analysis and plotting of your isotopic ratios. In the spirit of (but not derived from) IsoplotR and the original Isoplot

A Julia package for real-time audification of ODEs and SDEs

A package for Random Matrix Theory

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Tools for robot visualization in Julia.

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Differentiable wrapper for FrankWolfe.jl convex optimization routines

A package for representing orthogonal polynomials as quasi arrays

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Partially ordered sets fully compatible with Graphs.jl

RELOG: Reverse Logistics Optimization

A package for modeling and solving Quadratic Program Networks.

A semidefinite programming solver for clustered low-rank SDPs

Julia wrapper for SDPLR

A wrapper for the Python PyDSTool library for the SciML Scientific Machine Learning organization

Prescribed flow models for testing cloud microphysics schemes.

Support for Fourier-based spaces in ApproxFun

PAGE-2020 - a Julia implementation of the PAGE Integrated Assessment Model

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Controllers for airborne wind energy systems

Statistical inference for Poisson Processes

An Open Nonlinear Structural Analysis Solver in Julia

Spectrum calculation using the HITRAN database for Julia

A Julia interface to the Firebird RDBMS

Automatic Higher Order Differentiation for Generic Julia Functions

Equilibrium marriage market models.

Battery modelling using Jutul.jl and BattMo in MRST

Abstract types and math operations for OpenQuantumTools.jl.

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

Repository implementing MLJ interface for MultivariateStats models.

Optimal Transport Networks in Spatial Equilibrium - in Julia

Autologistic regression models in Julia

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)

Simple extension to Distributions.jl to incorporate interpolated PDFs

Distributions for continuous variables

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