Measures (metrics) for statistics and machine learning

Julia Wrappers for SoapySDR

Julia Package for Sigmoidal Programming

Trust region methods for nonlinear systems of equations in Julia.

Generation and estimation of stable distributions

Computational logic in Julia!

Tools do download and interpolate data from the World Ocean Atlas

Julia package that wraps the SARSOP software for solving POMDPs/MDPs

Array quantization and compression

Train a spiking recurrent neural network

Julia package for hydrological modelling

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

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

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

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

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

A differentiable parametrization of a group of unitary matrices.

Reduced basis methods for parametrised eigenproblems

Train and sample Restricted Boltzmann machines in Julia

Classical adaptive linear filters in Julia

Interactive examples for different geodynamic problems

Julia implementation of the bond graph framework

Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl

Locality-sensitive hashing (LSH) in Julia.

Analytical transit light curves for limb darkened stars

Storage for results of Bayesian inference

A new lightweight package for Deep Learning with Julia

MPSGE for Julia

Write and balance chemical equations elegantly and efficiently.

Ecosystem for writing partial differential equation solvers

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

Ecosystem for writing partial differential equation solvers

Learning Dynamic Movement Primitives in Julia

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

FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.

Structure-preserving numerical methods for dispersive shallow water models

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Lrs wrapper module for Julia

Extensible library for finite element programming

Tools for the analysis and visualization of PowerModels data and results