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

Estimation for sharp regression discontinuity designs.

Test particle tracing in electromagnetic field

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

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

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Reduced basis methods for parametrised eigenproblems

Train a spiking recurrent neural network

Fast 3D/4D Phase Unwrapping (julia source code)

The base package for Optimization.jl, containing the structs and basic functions for it.

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A general 4x4 transfer matrix for optical waves in layered media for Julia

Package to build Cases for Power Systems Modeling

Lrs wrapper module for Julia

Storage for results of Bayesian inference

A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.

A Julia client for the JuliaHub platform

Interactive examples for different geodynamic problems

Julia Wrappers for SoapySDR

High performance cyclic ray tracing algorithm for neutron transport in Julia.

Centripetal Catmull-Rom curves for interpoint traversal

Classical adaptive linear filters in Julia

Proximity Queries for Parametric Curves

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Write and balance chemical equations elegantly and efficiently.

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

Learning Dynamic Movement Primitives in Julia

Julia implementation of the bond graph framework

Ecosystem for writing partial differential equation solvers

Structure-preserving numerical methods for dispersive shallow water models

A Julia package for Differential Evolution MCMC

A model framework for the interpretation of mineral age spectra in stratigraphic context

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

Generate audiory stimuli

Julia package with several functions to train and analyze Autoencoder-based neural networks

A collection of methods for manipulating various well-known types of basis functions and recombining them into more general dictionaries

Is there anything we can't make Bayesian?

The Biochemical Algorithms Library in Julia

A flexible Julia toolkit for high-dimensional cellular profiles

Drift diffusion simulator for semiconductor devices