Julia library for function approximation with compact basis functions

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?

Julia package for reconstructing fiber trajectories from multi-scale, multi-modal imaging data

Finite-element toolbox in Julia

-

Dynamical models used within astrodynamics and orbital mechanics!

-

Some convenient hacks when using Nonconvex.jl.

A forward McCormick operator library

URDF and meshes for the Boston Dynamics Atlas robot (v5)

-

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

Inference for diffusion processes with the use of `Guided Proposals`

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Kriging estimators for the GeoStats.jl framework

Chaotic image processing tool

Package to analyse VIIRS nighttime lights

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

Interface between ControlSystems and ModelingToolkit

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe

Stata's Binscatter for Julia

Estimation for sharp regression discontinuity designs.

Training images for geostastical simulation

Common geographic data sets

A general-purpose Julia package for structural and system reliability analysis.

Package to simulate the thermal evolution of magmatic systems

N-Point Correlation Functions in Julia

Fast and backward stable computation of roots of polynomials in Julia

-

Julia package for microstructure imaging

Nonconvex Exterior Point Operator Splitting

Test particle tracing in electromagnetic field

Simple Julia Lattice Boltzmann Solver for Thin Liquid Films and Droplets, approximating the thin film equation.

Examples written with Agents.jl

Differentiable JUlia ICE model

🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia

Model the propagation of VLF radio waves in the Earth-ionosphere waveguide.

-

Linear Regression with errors in both X and Y, correlated or not, confidence intervals and plots.

Align signals to each other