SciML Open Source Scientific Machine Learning
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- The Base interface of the SciML 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 and automatic structural identifiability software for ODE systems
- Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
BoundaryValueDiffEq.jl
PublicBoundary value problem (BVP) solvers for scientific machine learning (SciML)- Reservoir computing utilities for scientific machine learning (SciML)
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
- 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
- High 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
- 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
- CellMLToolkit.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
PreallocationTools.jl
PublicTools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codesSciMLStructures.jl
PublicBaseModelica.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
- Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.