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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Package to call Python functions from the Julia language
Curated decibans of Julia programming language.
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Grid-based approximation of partial differential equations in Julia
Physical quantities with arbitrary units
The official registry of general Julia packages
Simple package for literate programming in Julia
Symbolic expressions, rewriting and simplification
A Control Systems Toolbox for Julia
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Web server to run just the `@bind` parts of a Pluto.jl notebook
official versions of the Julia logo
A framework for simulating viscous incompressible flows about arbitrary body shapes.
A general-purpose toolbox for efficient Kronecker-based algebra.
Makie package to plot maptiles from various map providers
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
A Makie.jl recipe for plotting OpenStreetMap data.
test repo for Algorithms for Optimization