MeshODE: A Robust and Scalable Framework for Mesh Deformation

Differentiable Reacting Flow Modeling Software

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Attentive Co-Evolving Neural Ordinary Differential Equations

Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Approximately Bayesian Ensembling for Parameterized Neural ODEs.

Training stiff NODE in data-driven wastewater process modelling

Finding parameters (values of coefficients) for a system of differential equations with constant coefficients at known values at a number of points.