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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 3.1k 247

  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 1.6k 248

  3. NeuralPDE.jl NeuralPDE.jl Public

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

    Julia 1.2k 239

  4. 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 915 158

  5. diffeqpy diffeqpy Public

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

    Python 595 52

  6. diffeqr diffeqr Public

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

    R 148 16

Repositories

Showing 10 of 207 repositories
  • DataInterpolations.jl Public

    A library of data interpolation and smoothing functions

    SciML/DataInterpolations.jl’s past year of commit activity
    Julia 266 MIT 57 45 (2 issues need help) 11 Updated Apr 6, 2026
  • SciMLOperators.jl Public

    SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

    SciML/SciMLOperators.jl’s past year of commit activity
    Julia 55 MIT 14 29 (1 issue needs help) 2 Updated Apr 6, 2026
  • BlackBoxOptim.jl Public

    Black-box optimization for Julia

    SciML/BlackBoxOptim.jl’s past year of commit activity
    Julia 461 61 38 8 Updated Apr 6, 2026
  • ParallelParticleSwarms.jl Public

    GPU accelerated Particle Swarm Optimization

    SciML/ParallelParticleSwarms.jl’s past year of commit activity
    Julia 28 MIT 4 10 7 Updated Apr 6, 2026
  • SciML/FunctionWrappersWrappers.jl’s past year of commit activity
    Julia 11 MIT 2 1 1 Updated Apr 6, 2026
  • 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 11 MIT 4 1 0 Updated Apr 6, 2026
  • FEniCS.jl Public

    A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

    SciML/FEniCS.jl’s past year of commit activity
    Julia 105 25 9 2 Updated Apr 6, 2026
  • Integrals.jl Public

    A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

    SciML/Integrals.jl’s past year of commit activity
    Julia 243 MIT 35 25 (1 issue needs help) 4 Updated Apr 6, 2026
  • 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 382 85 116 9 Updated Apr 6, 2026
  • 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
    Julia 1,181 239 115 (3 issues need help) 21 Updated Apr 6, 2026

Sponsors

  • @Just-A-Random-Geek
  • @EduardoMartinezLopez
  • @aefarrell
  • @pthariensflame
  • @jqfeld
  • @visr
  • @LacraCorcodel
  • @owiecc

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