IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

Reimplementation of speech decoding 2022 paper by MetaAI for Yanagisawa MEG2Image Project

Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)

A Brief Introduction to Path Signatures for Machine Learning Practitioners