Emergentia is a neural-symbolic discovery engine that extracts parsimonious physical laws from noisy particle trajectory data. It combines deep learning to model complex forces with symbolic regression to rediscover human-readable, mathematically interpretable equations of motion.
pytorch symbolic-regression graph-neural-networks self-supervised-learning pytorch-geometric torchdiffeq scientific-machine-learning physics-informed-ml gplearn multi-scale-modeling latent-dynamics ode-learning
-
Updated
Aug 19, 2026 - Python