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@SciML

SciML Open Source Scientific Machine Learning

Open source software for scientific machine learning

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Websites: Organization Website | Documentation

SciML Organization Stats: SciML Stars

SciML: Differentiable Modeling and Simulation Combined with Machine Learning

The SciML organization is a collection of tools for solving equations and modeling systems developed in the Julia programming language with bindings to other languages such as R and Python. The organization provides well-maintained tools which compose together as a coherent ecosystem. It has a coherent development principle, unified APIs over large collections of equation solvers, pervasive differentiability and sensitivity analysis, and features many of the highest performance and parallel implementations one can find.

Scientific Machine Learning (SciML) = Scientific Computing + Machine Learning

Where to Start?

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  1. DifferentialEquations.jl DifferentialEquations.jl Public

    Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

    Julia 2.8k 226

  2. ModelingToolkit.jl ModelingToolkit.jl Public

    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 a…

    Julia 1.4k 204

  3. DiffEqFlux.jl DiffEqFlux.jl Public

    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

    Julia 865 153

  4. NeuralPDE.jl NeuralPDE.jl Public

    Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

    Julia 973 195

  5. diffeqpy diffeqpy Public

    Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

    Python 529 39

  6. diffeqr diffeqr Public

    Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

    R 139 14

Repositories

Showing 10 of 178 repositories
  • NeuralPDE.jl Public

    Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

    SciML/NeuralPDE.jl’s past year of commit activity
  • MathML.jl Public

    Julia MathML parser

    SciML/MathML.jl’s past year of commit activity
    Julia 23 MIT 10 1 0 Updated Oct 1, 2024
  • OptimizationBase.jl Public

    The base package for Optimization.jl, containing the structs and basic functions for it.

    SciML/OptimizationBase.jl’s past year of commit activity
    Julia 14 MIT 6 16 (1 issue needs help) 3 Updated Sep 30, 2024
  • NonlinearSolve.jl Public

    High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

    SciML/NonlinearSolve.jl’s past year of commit activity
    Julia 232 MIT 40 31 (8 issues need help) 7 Updated Sep 30, 2024
  • LineSearch.jl Public

    Line Search Algorithms

    SciML/LineSearch.jl’s past year of commit activity
    Julia 0 MIT 1 2 1 Updated Sep 30, 2024
  • Catalyst.jl Public

    Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

    SciML/Catalyst.jl’s past year of commit activity
  • DiffEqBase.jl Public

    The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

    SciML/DiffEqBase.jl’s past year of commit activity
    Julia 310 111 56 12 Updated Sep 30, 2024
  • MethodOfLines.jl Public

    Automatic Finite Difference PDE solving with Julia SciML

    SciML/MethodOfLines.jl’s past year of commit activity
    Julia 160 MIT 27 95 7 Updated Sep 30, 2024
  • SciMLSensitivity.jl Public

    A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

    SciML/SciMLSensitivity.jl’s past year of commit activity
    Julia 328 70 95 10 Updated Sep 30, 2024
  • FastPower.jl Public

    A faster approximation to floating point power, at the trade-off of some accuracy

    SciML/FastPower.jl’s past year of commit activity
    Julia 7 MIT 1 0 0 Updated Sep 30, 2024

Sponsors

  • @seabbs
  • @pthariensflame
  • @jqfeld
  • @aefarrell
  • @visr
  • @LacraCorcodel
  • @owiecc
  • @scsmithr
  • Private Sponsor

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