Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
This is a curated list of resources for those working with dynamical systems, control theory, or scientific machine learning. It provides papers and code examples that bridge the gap between deep learning techniques and differential equations. Scientists, engineers, and researchers can find methods for modeling complex systems, analyzing time-series data, and discovering underlying physical laws.
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Use this if you are a researcher or practitioner exploring how deep learning can be applied to problems involving differential equations or continuous dynamical systems.
Not ideal if you are looking for a plug-and-play software library for general-purpose deep learning or solving standard classification/regression tasks.
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Sep 13, 2024
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