Simulate EEG / ERP data with overlap, non-linear effects, multiple regression

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Built-in solvers for the GeoStats.jl framework

Autologistic regression models in Julia

Equilibrium marriage market models.

Open-source time-Temperature inversion of thermochronometric data

Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.

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

Tools for robot visualization in Julia.

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"yet another paths system"

An Open Nonlinear Structural Analysis Solver in Julia

Alignment and comparison of small molecules read from .sdf files represented as Gaussian Mixture Models.

An optimizer of robustified Non-Linear Least Squares problems

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

Sampling quantum phase space distributions

Microscope Point Spread Function Calculator

Julia package for MPI reconstruction

Optimised multi-node MPI sorting algorithms in Julia

Image registration using mutual information.

Compute the nearest correlation matrix using a pure Julia implementation

A Julia package for network decomposition of optimal power flow problems

A custom branch-and-bound algorithm for solving low-rank matrix completion to certifiable optimality

Parameterize Jupyter notebooks in Julia

An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.

Save videos from Julia

Tools for creating, moving, and discretizing rigid bodies

Simple linear and nonlinear solvers in Julia

Algorithms for computing saddles points in nonlinear energy landscapes

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

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

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

A Makie theme

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Julia package for visualizing chords on the guitar fretboard.

Nonlinear diffusion problems in Julia

Generalized Estimating Equations (GEE) in Julia

Implementation of a drone surveillance problem with POMDPs.jl

Algorithms for performing angular differential imaging (ADI)