Fletcher's penalty method for nonlinear optimization models

Simple Gross-Pitaevskii Equation solver using FFTW

A package of FlightSims.jl family for ROS2.

A SciML symbolic-numeric compiler tool for investigating functions in order to perform optimizations

Utilities of gauge fields

Fast rasterization of huge amounts of tiny transparent points (in Julia)

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Quasi-discrete Hankel transform

1d and 3d models of the atmosphere for the simulation of airborne wind energy systems

HorseML.jl is the ML library for JuliaLang.

Indexes for image quality assessment

A set of tools to work with Markov Processes

MLJ.jl interface for JLBoost.jl

Julia package for solving dynamic programming problems

Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

Lightweight module of physical formulations in Kinetic.jl

LearningHorse.jl is the ML library for JuliaLang.

Iterated stochastic integrals in Julia.

Modeling light transport in turbid media

Analytical solutions for groundwater contaminant transport

Tools for constructing and analyzing the incidence graph or matrix of variables and constraints in a JuMP model

A Julia/JuMP Package for N-k Contingency Analysis in Power Systems

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Reinforcement learning, compositionally

Plotting functionality for MixedModels.jl implemented in Makie

MLJ.jl interface for GLM.jl models

MLJ.jl interface for JLBoost.jl

Game Theoretic Planning

Core algorithms for equation-based modeling

A set of tools for analyzing molecular dynamics simulations

A monolithic Finite Element formulation for the hydroelastic analysis of Very Large Floating Structures

MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processing including HGLET, GHWT, eGHWT, NGWP, Lapped NGWP, and Lapped HGLET. Some of them were originally written in MATLAB by Jeff Irion, but we added more functionalities, e.g., eGHWT, NGWP, etc.

This package contains a convenient analysis and visualization pipeline for simple dynamical models of neurons and networks of neurons.

Implements the Neural Quantum State algorithm for Julia.

Ocean color data processing and analysis

Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization

Takes a power grid case and generates OPF samples by changing the input parameters.

PandaModels is the developing Julia package that contains supplementary data and codes to prepare pandapower networks in a compatible format for PowerModels.jl.

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

Calculate regressions and abnormal returns for large return datasets quickly