Julia neural-ode

Top 6 Julia neural-ode Projects

  • DiffEqFlux.jl

    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

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  • SciMLSensitivity.jl

    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.

  • DiffEqBase.jl

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

  • ComponentArrays.jl

    Arrays with arbitrarily nested named components.

  • DiffEqGPU.jl

    GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

  • BoundaryValueDiffEq.jl

    Boundary value problem (BVP) solvers for scientific machine learning (SciML)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source neural-ode projects in Julia? This list will help you:

Project Stars
1 DiffEqFlux.jl 875
2 SciMLSensitivity.jl 333
3 DiffEqBase.jl 320
4 ComponentArrays.jl 301
5 DiffEqGPU.jl 284
6 BoundaryValueDiffEq.jl 46

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