A package for the sparse identification of nonlinear dynamical systems from data
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
A Python native dynamical system simulation framework in the block diagram paradigm.