Revision 241bf7ad2b806f6677a5e23534247f35f3a70f10 authored by rballester on 19 February 2023, 19:35:27 UTC, committed by rballester on 19 February 2023, 19:35:27 UTC
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Project Goals

This package was born to bring together some of the most popular tensor decomposition models (including CP, Tucker, and the tensor train) under a common interface. Thus, we use *one class* for all those models. They are all particular cases of `tensor networks <>`_, and the idea is that decomposing, manipulating, and reconstructing tensors can be (to some extent) abstracted away from the particular decomposition format.

Building on top of `PyTorch <>`_'s flexibility and built-in automatic differentiation, the overall goal is to exploit those features and allow users to quickly develop, model, and fit various tensor decompositions in a range of data science applications.
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