# PGelss/scikit\_tt

<https://repo.masters-masters.com/en/repos/PGelss/scikit_tt>

[Home](https://repo.masters-masters.com/en) › [PGelss](https://repo.masters-masters.com/en/owners/PGelss) › [scikit\_tt](https://repo.masters-masters.com/en/repos/PGelss/scikit_tt)

PGelss/scikit\_tt has 132 stars on GitHub. Its RepoMasters card: Prototype tier. Tensor Train Toolbox Language: Python.

| Field | Value |
| --- | --- |
| Owner | [PGelss](https://repo.masters-masters.com/en/owners/PGelss) |
| Stars | 132 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | LGPL-3.0 |
| Created | 2018 |
| Topics | tensor-decomposition, tensor, tensor-train, als, mals, slim-decomposition, mandy, tensor-network, data-driven, scikit |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [PGelss/scikit\_tt](https://github.com/PGelss/scikit_tt) |

## Repository

Tensor Train Toolbox

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
