SciML Open Source Scientific Machine Learning
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- 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
- 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.
- Reservoir computing utilities for scientific machine learning (SciML)
- The Base interface of the SciML ecosystem
SurrogatesBase.jl
Public- A standard library of components to model the world and beyond
- A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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)NeuralLyapunov.jl
PublicModelOrderReduction.jl
PublicHigh-level model-order reduction to automate the acceleration of large-scale simulationsSciMLBenchmarks.jl
PublicScientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, RQuasiMonteCarlo.jl
PublicLightweight 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
- Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
EllipsisNotation.jl
Public- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
FindFirstFunctions.jl
Public- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
MuladdMacro.jl
PublicThis package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem- CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
PreallocationTools.jl
PublicTools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codesDifferenceEquations.jl
Public- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance
BaseModelica.jl
PublicSciMLStructures.jl
PublicNonlinearSolve.jl
PublicHigh-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.