Physics-Informed Neural networks for Advanced modeling
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Updated
Nov 25, 2025 - Python
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.
Python package to discover Differential Algebraic Equations (DAEs) from noisy data using sparse optimization framework.
A PyTorch implementation of Equation Learners and Dynamic Heuristic Growth (DHG)
Equation learning with tree search using an expression grammar
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