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Tip revision: 3af563a42794ba169e7902198d1edd919617a958 authored by Rafael Ballester on 16 March 2023, 15:48:54 UTC
Updated doc (ranks_cp actually must be an integer, not a list)
Tip revision: 3af563a
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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