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separable-operator-networks


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Author: None
License: Copyright (c) 2024 Hewlett Packard Development Enterprise LP Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Sof...
Summary: Separable operator models for extreme-scale learning of parametric PDEs
Latest version: 0.0.2
Required dependencies: diffrax | equinox | gputil | jax | numpy | optax | scipy
Optional dependencies: jax

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