cno

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

My work on both tracks of the NeurIPS 2026 RealPDE Competition: adapting simulation-trained neural operators to real PIV measurements of the flow past an airfoil. Track 1 (Sim-to-Real) fine-tunes a CNO and adds a residual adapter. Track 2 (Test-Time Adaptation) uses a dual-head FNO that adapts while streaming via running statistics.

A Python 3 package that provides functions and classes to validate different Brazilian IDs