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Copy file name to clipboardexpand all lines: README.rst
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An extensible Python package with data-driven pipelines for physics-informed machine learning.
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.. image:: assets/simulai_diagram.svg
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**Call for contributions:**
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If you have developed and/or published new architectures using PyTorch and intend to make them opensource,
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consider include them as part of SimulAI, which works as an unified repository for scientific machine learning models, continuously tested and maintained.
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SimulAI was already packaged under a friendly license (Apache) and it can be used to more easily share state of the art models whithin the scientific community.
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.. image:: assets/simulai_diagram_2.svg
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The SimulAI toolkit provides easy access to state-of-the-art models and algorithms for physics-informed machine learning. Currently, it includes the following methods described in the literature:
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