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pytorch-quadconv

Quadrature-based convolutions for deep learning on unstructured and non-uniform mesh data.

https://github.com/algorithmicdatareduction/pytorch-quadconv

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    Found codemeta.json file
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    Found .zenodo.json file
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    DOI references
    Found 3 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (10.4%) to scientific vocabulary

Keywords

convolution deep-learning non-uniform-grid pytorch unstructured-meshes
Last synced: 6 months ago · JSON representation

Repository

Quadrature-based convolutions for deep learning on unstructured and non-uniform mesh data.

Basic Info
  • Host: GitHub
  • Owner: AlgorithmicDataReduction
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 51.7 MB
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
convolution deep-learning non-uniform-grid pytorch unstructured-meshes
Created about 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

PyTorch QuadConv: Quadrature-based convolutions for deep learning.

Authors: Kevin Doherty, Cooper Simpson

A quadrature-based convolution operator suitable for unstructured data.

License & Citation

All source code is made available under an MIT license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors. SeeLICENSEfor the full text.

This repository can be cited using the entry in CITATION. See Publications for a full list of publications related to QuadConv and influencing this package. If any of these are useful to your own work, please cite them individually.

Installation

This package can be installed via pip. From the terminal, run the following command: console pip install pytorch-quadconv

Testing

Usage

```python from torch_quadconv import QuadConv

QuadConv() ```

Publications

QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression

bibtex @article{quadconv, title = {{QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression}}, author = {Doherty, Kevin and Simpson, Cooper and Becker, Stephen and Doostan, Alireza}, year = {2023}, journal = {J. Comp. Physics, {\em to appear}}, doi = {10.1016/j.jcp.2023.112636} }

Owner

  • Name: Algorithmic Data Reduction
  • Login: AlgorithmicDataReduction
  • Kind: organization
  • Location: United States of America

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