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

Train a spiking recurrent neural network

A Julia package for Differential Evolution MCMC

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A Julia package for differentiating through expectations with Monte-Carlo estimates

Array quantization and compression

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

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

Julia implementation of the bond graph framework

A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages

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Storage for results of Bayesian inference

Interface to https://refractiveindex.info/

Reduced basis methods for parametrised eigenproblems

Julia Package for Sigmoidal Programming

Interactive examples for different geodynamic problems

Visualisation, output and fitting of the DAMM model

Julia package for hydrological modelling

A new lightweight package for Deep Learning with Julia

Proximity Queries for Parametric Curves

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Locality-sensitive hashing (LSH) in Julia.

A package for representing playing cards for card games.

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

Lrs wrapper module for Julia

A Julia client for the JuliaHub platform

A Julia package for consensus-based optimisation

Computational logic in Julia!

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

Classical adaptive linear filters in Julia

Package to build Cases for Power Systems Modeling

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

Community Detection algorithms for LightGraphs

Julia Wrappers for SoapySDR

Modern Hopfield layer implementations in Julia

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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.

Metrics for evaluation of Machine Learning and Deep Learning Models

MPSGE for Julia