This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.

「機械学習による分子最適化」のサポートページ

Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction