Skip to main content

Solving Partial Differential Equations with Neural Networks

Project description

Welcome to nangs

Solving Partial Differential Equations with Neural Networks.

Nangs is a Python library built on top of Pytorch to solve Partial Differential Equations.

Our objective is to develop a new tool for simulating nature, using Neural Networks as solution approximation to Partial Differential Equations, increasing accuracy and optimization speed while reducing computational cost.

Read our paper to know more.

Installing

nangs is on PyPI so you can just run:

pip install nangs

You will also need to install Pytorch.

Getting Started

  • Learn how to work with nangs with our tutorials.
  • See nangs in actions with our examples.

Copyright

Copyright 2020 onwards, SensioIA. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this project's files except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nangs-2021.12.6.tar.gz (1.6 MB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page