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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?

Pinned

  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 218

  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 1.3k 188

  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 838 151

  4. NeuralPDE.jl NeuralPDE.jl Public

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

    Julia 906 194

  5. diffeqpy diffeqpy Public

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

    Python 497 38

  6. diffeqr diffeqr Public

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

    R 134 14

Repositories

Showing 10 of 170 repositories
  • sciml.ai Public

    The SciML Scientific Machine Learning Software Organization Website

    CSS 50 MIT 33 6 1 Updated May 6, 2024
  • LineSearch.jl Public

    Line Search Algorithms

    Julia 0 MIT 1 2 2 Updated May 6, 2024
  • 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 and automated transformations of differential equations

  • HighDimPDE.jl Public

    A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

    Julia 68 11 6 5 Updated May 6, 2024
  • ReactionNetworkImporters.jl Public

    Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

    Julia 26 MIT 8 8 0 Updated May 6, 2024
  • ADTypes.jl Public

    Repository for SciML AD backend types

    Julia 21 MIT 5 2 0 Updated May 6, 2024
  • ModelingToolkitStandardLibrary.jl Public

    A standard library of components to model the world and beyond

    Julia 98 MIT 35 34 19 Updated May 6, 2024
  • SciMLExpectations.jl Public

    Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

    Julia 62 22 29 6 Updated May 6, 2024
  • SciMLBenchmarks.jl Public

    Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

    MATLAB 292 MIT 71 34 44 Updated May 6, 2024
  • JumpProcesses.jl Public

    Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

    Julia 133 34 54 10 Updated May 6, 2024