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

Control Engineering with Python

Numerical methods to solve ordinary differential equations in Rust.

A synchronous language with ODEs

Workshop materials for training in scientific computing and scientific machine learning

A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).

Physics-Enhanced Regression for Initial Value Problems

A collection of ODE models with experimental data as benchmark problems in order to evaluate new and existing methodologies for data-based modelling

A small Python library for fast ODE prototyping and visualization.

A collection of chaotic ODEs.

Flexible framework package for solving linear systems of ordinary differential equations for PBPK and PK type models

Materials for for SIF3012 Computational Physics course. This course is designed for Physics students taking Computational Physics course. Some materials need to be guided through lectures series (provided in Spectrum and class)

Matlab Code for Boundary Value Problems in (singular/regular) nonlinear ODEs

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

Going through the tutorials for integrating PyMC with ODEs

This is a MatLab project I made for image reconstruction

This report paper extensively draws upon the groundbreaking work of Robert Ghrist and Robert Holmes titled "An ODE whose solutions encompass a comprehensive range of knots and links."

Probabilistic ODE model structure inference using MCMC

Modelling the phenomenon of "Ecological Suicide", for a final year Master's project in Engineering Mathematics.

Training stiff NODE in data-driven wastewater process modelling