A library for scientific machine learning and physics-informed learning
Solve complex scientific problems using machine learning techniques for equations and optimization tasks.
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deepxde has 4.3k stars on GitHub. It has been forked 988 times. deepxde is written mainly in Python. It has been in active development since 2019. deepxde is available under the LGPL-2.1 license. Its main topics are deep-learning, deeponet, jax, multi-fidelity-data.
A library for scientific machine learning and physics-informed learning
deepxde is an open-source project. It is released under the LGPL-2.1 license.
Yes. deepxde is free and open source — you can use, modify and self-host it. Its LGPL-2.1 license is copyleft: if you distribute a modified version, it must remain under the same license.
deepxde is available under the LGPL-2.1 license.
deepxde is written mainly in Python.
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