Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

Frozen release of github.com/WassimTenachi/PhySO for: - The ApJ paper "Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws" - The NeurIPS ML4PS proceeding "Physical Symbolic Optimization" Main feature: Symbolic Regression guided by Dimensional Analysis. Version: v1.0.0

astro-ph.IM cs.LG physics.comp-ph Evolutionary Algorithms and Applications Model Reduction and Neural Networks Metaheuristic Optimization Algorithms Research

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