SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

General fixed point mapping acceleration and optimization in Julia

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Nonconvex Exterior Point Operator Splitting

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

A flexible toolkit for simulation based inference in Julia

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Lrs wrapper module for Julia

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

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

Julia Wrappers for SoapySDR

A differentiable parametrization of a group of unitary matrices.

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Package to build Cases for Power Systems Modeling

Reduced basis methods for parametrised eigenproblems

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

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

Trust region methods for nonlinear systems of equations in Julia.

Train and sample Restricted Boltzmann machines in Julia

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

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

Train a spiking recurrent neural network

MPSGE for Julia

Measures (metrics) for statistics and machine learning

A Julia client for the JuliaHub platform

Julia Package for Sigmoidal Programming

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

Interactive examples for different geodynamic problems

A new lightweight package for Deep Learning with Julia

Visualize automotive simulation from AutomotiveSimulator.jl

Proximity Queries for Parametric Curves

Centripetal Catmull-Rom curves for interpoint traversal

Storage for results of Bayesian inference

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

Visualisation, output and fitting of the DAMM model

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.

Write and balance chemical equations elegantly and efficiently.

Structure-preserving numerical methods for dispersive shallow water models

Ecosystem for writing partial differential equation solvers

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