peterparity

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

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

paperpile-to-notion

peterparity.github.io

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