Physics-Informed Neural networks for Advanced modeling

An exploration of AI-driven symbolic regression, implementing and analyzing two key methods: Equation Learner (EQL) neural networks and a Seq2Seq Transformer model.

A PyTorch implementation of Equation Learners and Dynamic Heuristic Growth (DHG)

Python package to discover Differential Algebraic Equations (DAEs) from noisy data using sparse optimization framework.

Equation learning with tree search using an expression grammar