PDE-VAE-pytorch

Learning in infinite dimension with neural operators.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

A package for the sparse identification of nonlinear dynamical systems from data

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

A Python Package For System Identification Using NARMAX Models

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Graph Neural PDEs