https://github.com/datamllab/pyten

Python Package for Tensor Completion Algorithms
https://github.com/datamllab/pyten

tensor tensor-completion tensor-decomposition tensor-factorization

Last synced: 1 day ago
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Python Package for Tensor Completion Algorithms

• Host: GitHub
• URL: https://github.com/datamllab/pyten
• Owner: datamllab
• License: gpl-2.0
• Created: 2019-11-06T17:30:11.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-11-06T17:48:48.000Z (over 5 years ago)
• Last Synced: 2025-06-05T10:50:32.072Z (22 days ago)
• Topics: tensor, tensor-completion, tensor-decomposition, tensor-factorization
• Language: Python
• Homepage:
• Size: 2 MB
• Stars: 36
• Watchers: 2
• Forks: 11
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PyTen

DARPA NGS2 HELIOS Project 

## What is PyTen? 

**PyTen** is a python package containing the state-of-the-art tensor decomposition and completion algorithms for “filling in the gaps”' of recovering high-order tensor-structured datasets characterized by noisy and missing information. It is developed by [`DATA Lab`](http://faculty.cs.tamu.edu/xiahu/index.html) and [`Info Lab`](http://infolab.tamu.edu) at Texas A&M University supported by the DARPA NGS2 HELIOS project.

## Cite this work

```

@article{song2019tensor,

  title={Tensor completion algorithms in big data analytics},

  author={Song, Qingquan and Ge, Hancheng and Caverlee, James and Hu, Xia},

  journal={ACM Transactions on Knowledge Discovery from Data (TKDD)},

  volume={13},

  number={1},

  pages={6},

  year={2019},

  publisher={ACM}

}

```

__author__ = "Qingquan Song, Hancheng Ge, Xing Zhao, Xiao Huang, Ziwei Zhu, James Caverlee, Xia (Ben) Hu"

__copyright__ = "Copyright 2016, The Helios Project"