A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

A small Python library for fast ODE prototyping and visualization.

Python implementations of common numerical methods used to solve ODEs and PDEs

Generation of logic designs for efficiently solving ordinary differential equations on FPGAs

A package to simulate the output of a control system by means of the Chen-Fliess series.

Homogeneous linear system of ODEs in two dimensions.

A python module aimed at expediting the analysis of biological systems with ODE models

A Python/NumPy implementation of the Loewner framework for data-driven interpolation by rational functions.

Coursework solutions for the Core Programming course covering numerical methods and their implementation in Python.

Introduction to Scientific Computation - Numerical Methods and Python Implementation