Peter Y. Lu

PDE-VAE-pytorch. PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

symder. SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations

conservation-laws-manifold-learning. Discovering Conservation Laws using Optimal Transport and Manifold Learning

EUNN-tensorflow. Efficient Unitary NN implementation in tensorflow