Fast & Simple
Tensor Learning
In Python

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Discover TensorLy's Functionalities!

Tensor Methods, Made Easy

TensorLy provides all the utilities to easily use tensor methods, whether you are an advanced user or just getting started, from core tensor operations and tensor algebra to tensor decomposition and regression.

Execute Anywhere

TensorLy's backend system lets you write your code once and execute in using any of the supported frameworks, enabling tensor learning on GPU, multi-machines, and deep tensorized learning.

Speedup Your Research

TensorLy is open-source, actively maintained and easily extensible. Its BSD license makes it suitable for use in both industry and academia and it is already used by several university labs and companies all around the world.

If you use TensorLy, please consider citing us:

Jean Kossaifi, Yannis Panagakis, Anima Anandkumar and Maja Pantic, TensorLy: Tensor Learning in Python, Journal of Machine Learning Research, Year: 2019, Volume: 20, Issue: 26, Pages: 1−6.

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