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📚A collection of papers & tools on dynamical systems and deep learning

https://github.com/yantijin/dynamic-systems-DL

It's divided into the following topics:

Differential Equations in Deep Learning

General Architectures
Neural ODEs (ordinary diff. eq.)
Neural SDEs, CSDEs, CDEs...
Normalizing Flows
Applications

Energy based models

Hamilton
Applications
Lagrange

Deep Learning Methods for Differential Equations

Solving Differential Equations
Learning PDEs
Applications
Model Discovery

Deep Control

Model-Predictive-Control

Dynamical System View of Deep Learning

Recurrent Neural Networks
Theory and Perspectives
Optimization
Signals and systems

Software and Libraries

Python
Julia

Websites and Blogs

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📚A collection of papers & tools on dynamical systems and deep learning

https://github.com/yantijin/dynamic-systems-DL

It's divided into the following topics:

Differential Equations in Deep Learning

General Architectures
Neural ODEs (ordinary diff. eq.)
Neural SDEs, CSDEs, CDEs...
Normalizing Flows
Applications

Energy based models

Hamilton
Applications
Lagrange

Deep Learning Methods for Differential Equations

Solving Differential Equations
Learning PDEs
Applications
Model Discovery

Deep Control

Model-Predictive-Control

Dynamical System View of Deep Learning

Recurrent Neural Networks
Theory and Perspectives
Optimization
Signals and systems

Software and Libraries

Python
Julia

Websites and Blogs

----

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