Julia sensitivity-analysis

Open-source Julia projects categorized as sensitivity-analysis
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Topics: HacktoberFest scientific-machine-learning neural-ode neural-sde Sciml
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Julia sensitivity-analysis Projects

  • 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.

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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).

Julia sensitivity-analysis related posts

  • Accurate and Efficient Physics-Informed Learning Through Differentiable Simulation - Chris Rackauckas (ASA Statistical Computing & Graphics Sections)

    1 project | /r/Julia | 7 Aug 2022

  • [R] New directions in Neural Differential Equations

    1 project | /r/MachineLearning | 19 May 2021

  • Odd Behavior: Neural network hybrid differential equation example

    1 project | /r/Julia | 24 Jan 2021

Index

Project Stars
1 SciMLSensitivity.jl 311

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