dylanrandle / neurodiffeq

neurodiffeq

Introduction

neurodiffeq is a package for solving differential equations with neural networks. Differential equations are equations that relate some function with its derivatives. They emerge in various scientific and engineering domains. Traditionally these problems can be solved by numerical methods (e.g. finite difference, finite element). While these methods are effective and adequate, their expressibility is limited by their function representation. It would be interesting if we can compute solutions for differential equations that are continuous and differentiable.

As universal function approximators, artificial neural networks have been shown to have the potential to solve ordinary differential equations (ODEs) and partial differential equations (PDEs) with certain initial/boundary conditions. The aim of neurodiffeq is to implement these existing techniques of using ANN to solve differential equations in a way that allow the software to be flexible enough to work on a wide range of user-defined problems.

Installation

Currently neurodiffeq is not in PyPI, so it needs to be installed manually. To install neurodiffeq:

1. (optional) Create a new environment. With conda: conda create --name [name of the new environment] python=3.7 and activate the enviroment by conda activate [name of the new environment]; With venv: python3 -m venv temp [path to the new environment] and activate the environment by source [path to the new environment]/bin/activate

2. Clone the repo by git clone https://github.com/odegym/neurodiffeq.git and cd into the root directory of the repo by cd neurodiffeq

3. Install the dependencies by pip install -r requirements.txt and install neurodiffeq by pip install .

4. (optional) Run tests by pytest

5. (optional) Deactivate the environment. With conda: conda deactivate; With venv: deactivate

Getting Started

For basic use of neurodiffeq, please check the documentation hosted on ReadTheDocs

Contributing

Thanks for your interest to contribute!

When contributing to this repository, we consider the following process:

1. Open an issue to discuss the change you are planning to make

2. Make the change on a forked repository and update the README.md if changes are made to the interface

3. Open a pull request