Learning in infinite dimension with neural operators.
MIT License
Bot releases are hidden (Show)
We are excited to release this new version of the neuraloperator library! It brings many improvements, including new architectures (SFNO, GNO, GINO), many improvements to existing ones, out-of-the-box super resolution, super-evaluation and incremental training.
All models can now be easily saved and loaded and we provide a lightweight trainer compatible with all our neuraloperators. Head to the examples for some sample code, and to the API for a full documentation!
layers/
directory with black
by @m4e7 in https://github.com/neuraloperator/neuraloperator/pull/199
datasets/
directory with black
by @m4e7 in https://github.com/neuraloperator/neuraloperator/pull/205
preactivation
from FNOBlock.forward()
by @m4e7 in https://github.com/neuraloperator/neuraloperator/pull/214
DataProcessor
code doc build by @dhpitt in https://github.com/neuraloperator/neuraloperator/pull/266
Full Changelog: https://github.com/neuraloperator/neuraloperator/compare/0.2.0...0.3.0