NeuralOperators.jl is a package written in Julia to provide the architectures for learning mapping between function spaces, and learning grid invariant solution of PDEs. Checkout the documentation for tutorials and API reference.
@software{pal2023lux,
author = {Pal, Avik},
title = {{Lux: Explicit Parameterization of Deep Neural Networks in Julia}},
month = apr,
year = 2023,
note = {If you use this software, please cite it as below.},
publisher = {Zenodo},
version = {v0.5.0},
doi = {10.5281/zenodo.7808904},
url = {https://doi.org/10.5281/zenodo.7808904}
}
@thesis{pal2023efficient,
title = {{On Efficient Training \& Inference of Neural Differential Equations}},
author = {Pal, Avik},
year = {2023},
school = {Massachusetts Institute of Technology}
}
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