#scientific-machine-learning (29 Repositories)
Ranked open-source repositories tagged with #scientific-machine-learning, scored by pull request acceptance likelihood and maintainer engagement velocity.
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29 repositories tagged #scientific-machine-learning
SciML/ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
SciML/OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
SciML/ExponentialUtilities.jl
Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.
pasteurlabs/tesseract-core
Universal components for differentiable scientific computing. :package:
SciML/LinearSolve.jl
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
SciML/SciMLBase.jl
The Base interface of the SciML ecosystem
LuxDL/Lux.jl
Elegant and Performant Deep Learning
SciML/DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
SciML/Integrals.jl
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Joshuaalbert/jaxns
Probabilistic Programming and Nested sampling in JAX
SciML/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
SciML/DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
SciML/QuasiMonteCarlo.jl
Lightweight 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)
SciML/SymbolicNumericIntegration.jl
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
SciML/ComponentArrays.jl
Arrays with arbitrarily nested named components.
SciML/NBodySimulator.jl
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
SciML/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
SciML/DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
JuliaArrays/ArrayInterface.jl
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
SciML/SciMLStyle
A style guide for stylish Julia developers
SciML/LabelledArrays.jl
Arrays which also have a label for each element for easy scientific machine learning (SciML)
SciML/FEniCS.jl
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
SciML/ODE.jl
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
ChrisRackauckas/universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
vavrines/Kinetic.jl
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.