SciML Open Source Scientific Machine Learning
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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- Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open so…
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and…
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)
- A structure interface for SciML to give queryable properties from user data and parameters
- A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
ModelingToolkit.jl
PublicAn acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics fo…BoundaryValueDiffEq.jl
PublicBoundary value problem (BVP) solvers for scientific machine learning (SciML)SciMLBenchmarks.jl
PublicScientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, ROrdinaryDiffEq.jl
PublicHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neura…Corleone.jl
PublicOptimal Control meets Scientific Machine LearningNonlinearSolve.jl
PublicHigh-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov suppo…ProcessSimulator.jl
PublicCommonSolve.jl
PublicA common solve function for scientific machine learning (SciML) and beyondSciMLDocs
PublicGlobal documentation for the Julia SciML Scientific Machine Learning OrganizationHighDimPDE.jl
PublicA Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dime…ComponentArrays.jl
PublicArrays with arbitrarily nested named components.ReservoirComputing.jl
PublicReservoir computing utilities for scientific machine learning (SciML)NeuralPDE.jl
PublicPhysics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulationSciMLBenchmarksOutput
PublicSciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI PerformanceFiniteVolumeMethod1D.jl
PublicImplementation of the finite volume method in 1D.DiffEqDevTools.jl
PublicBenchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)SurrogatesBase.jl
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