Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
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
A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML)
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
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
Arrays which also have a label for each element for easy scientific machine learning (SciML)
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.
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
Uncertainty quantification for scientific machine learning (SciML) and differential equations
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
Delay differential equation solvers for the SciML scientific machine learning ecosystem
Utility functions for exponential integrators for the SciML scientific machine learning ecosystem
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools