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adtypes.jl

Repository for automatic differentiation backend types

arnotester.jl

askem

basemodelica.jl

boundaryvaluediffeq.jl

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

catalyst.jl

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

cellmltoolkit.jl

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

citester

citester.jl

colprac

Contributor's Guide on Collaborative Practices for Community Packages

commonsolve.jl

A common solve function for scientific machine learning (SciML) and beyond

cubature.jl

One- and multi-dimensional adaptive integration routines for the Julia language

cuda.jl

CUDA programming in Julia.

datadrivendiffeq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

datainterpolations.jl

A library of data interpolation and smoothing functions

deepequilibriumnetworks.jl

Deep Equilibrium Networks (but faster!!!)

delaydiffeq.jl

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

diffeqbase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

diffeqbayes.jl

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

diffeqcallbacks.jl

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

diffeqdevdocs.jl

Developer documentation for the SciML scientific machine learning ecosystem's differential equation solvers

diffeqdocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

diffeqfinancial.jl

Differential equation problem specifications and scientific machine learning for common financial models

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diffeqgpu.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

diffeqnoiseprocess.jl

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

diffeqoperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

diffeqparamestim.jl

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

diffeqproblemlibrary.jl

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

diffeqsensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.