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- Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
- Reservoir computing utilities for scientific machine learning (SciML)
- The Base interface of the SciML ecosystem
OrdinaryDiffEq.jl
PublicHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
- 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 and automated transformations of differential equations
- Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
- Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
FindFirstFunctions.jl
PublicCellMLToolkit.jl
PublicCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.- A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
- Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
SciMLStructures.jl
Public- A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
- A common solve function for scientific machine learning (SciML) and beyond
Catalyst.jl
PublicChemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.LinearSolve.jl
PublicLinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.- Fast and automatic structural identifiability software for ODE systems
DiffEqCallbacks.jl
PublicA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solversDiffEqDocs.jl
PublicDocumentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem