swMATH ID: 27020
Software Authors: Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic
Description: TensorLy is a Python library that aims at making tensor learning simple and accessible. It allows to easily perform tensor decomposition, tensor learning and tensor algebra. Its backend system allows to seamlessly perform computation with NumPy, MXNet, PyTorch, TensorFlow or CuPy, and run methods at scale on CPU or GPU.
Homepage: http://tensorly.org/stable/index.html
Source Code:  https://github.com/tensorly/tensorly
Dependencies: Python
Keywords: Machine Learning; arXiv_cs.LG; Tensor; Python; deep tensorized neural networks; deep-learning framework
Related Software: PyTorch; TensorFlow; GitHub; NumPy; Scikit; Python; TensorToolbox; t3f; TT Toolbox; ImageNet; MNIST; TensorNetwork; tntorch; Matplotlib; MXNet; mpnum; pandas; N-way Toolbox; Seaborn; HOTTBOX
Cited in: 10 Publications

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1 Publication describing the Software Year
TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic

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