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torchdyn
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torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

by DiffEqML · GitHub
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control-theorydeep-equilibrium-modelsdeep-learningApache-2.0Jupyter Notebook
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Build and train advanced models that use mathematical equations to learn from data with PyTorch.

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1 5731 572
2026-07-202026-08-31
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📄 About

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

torchdyn has 1.6k stars on GitHub. It has been forked 135 times. torchdyn is written mainly in Jupyter Notebook. It has been in active development since 2020. torchdyn is available under the Apache-2.0 license. Its main topics are control-theory, deep-equilibrium-models, deep-learning, dynamical-systems.

Frequently asked questions

What is torchdyn?

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Is torchdyn open source?

torchdyn is an open-source project. It is released under the Apache-2.0 license.

Is torchdyn free?

Yes. torchdyn is free and open source — you can use, modify and self-host it.

What license does torchdyn use?

torchdyn is available under the Apache-2.0 license.

What language is torchdyn written in?

torchdyn is written mainly in Jupyter Notebook.

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