A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
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Updated
May 23, 2024 - Python
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 numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
Control Engineering with Python
A collection of chaotic ODEs.
Workshop materials for training in scientific computing and scientific machine learning
Numerical methods to solve ordinary differential equations in Rust.
Training stiff NODE in data-driven wastewater process modelling
A collection of notes on introductory numerical analysis, involving multiple methods.
Modelling the phenomenon of "Ecological Suicide", for a final year Master's project in Engineering Mathematics.
Going through the tutorials for integrating PyMC with ODEs
Physics-Enhanced Regression for Initial Value Problems
A python module aimed at expediting the analysis of biological systems with ODE models
A synchronous language with ODEs
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."
Code to simulate a stochastic system using the Gillespie algorithm with comparisons to the mean field model and steady state analysis.
Flexible framework package for solving linear systems of ordinary differential equations for PBPK and PK type models
Lecture SS 2022 - Introduction to various topics in Systems Biology
Playpen to compute the period doubling route to chaos in Duffing's equation. Uses SUNDIALS and VTK.
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