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Title: GitHub - PGelss/scikit_tt: Tensor Train Toolbox · GitHub

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Description: Tensor Train Toolbox. Contribute to PGelss/scikit_tt development by creating an account on GitHub.

Open Graph Description: Tensor Train Toolbox. Contribute to PGelss/scikit_tt development by creating an account on GitHub.

X Description: Tensor Train Toolbox. Contribute to PGelss/scikit_tt development by creating an account on GitHub.

Mail addresses
gelss@zib.de

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	https://github.com/PGelss/scikit_tt#content
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TT class	https://github.com/PGelss/scikit_tt/blob/master/README.md#2-tt-class
TT solvers	https://github.com/PGelss/scikit_tt/blob/master/README.md#3-tt-solvers
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Alternating ridge regression (ARR)	https://github.com/PGelss/scikit_tt/blob/master/README.md#533-alternating-ridge-regression
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Additional information	https://github.com/PGelss/scikit_tt/blob/master/README.md#11-additional-information
Authors & contact	https://github.com/PGelss/scikit_tt/blob/master/README.md#111-authors--contact
Built with	https://github.com/PGelss/scikit_tt/blob/master/README.md#112-built-with
License	https://github.com/PGelss/scikit_tt/blob/master/README.md#113-license
Versions	https://github.com/PGelss/scikit_tt/blob/master/README.md#114-versions
References	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#1-installing
setup.py	https://github.com/PGelss/scikit_tt/blob/master/setup.py
	https://github.com/PGelss/scikit_tt#2-tt-class
tensor-train.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/tensor_train.py
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4	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
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	https://github.com/PGelss/scikit_tt#32-generalized-eigenvalue-problems
8	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
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	https://github.com/PGelss/scikit_tt#33-linear-differential-equations
16	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
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ode.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/solvers/ode.py
	https://github.com/PGelss/scikit_tt#4-slim-decomposition
slim.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/slim.py
5	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#5-data-analysis
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	https://github.com/PGelss/scikit_tt#51-tensor-based-dynamic-mode-decomposition-tdmd
tdmd.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/data_driven/tdmd.py
6	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#52-transformed-data-tensors
transform.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/data_driven/transform.py
10	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
7	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
10, 11	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#53-regression-methods
regression.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/data_driven/regression.py
	https://github.com/PGelss/scikit_tt#531-multidimensional-approximation-of-nonlinear-dynamical-systems-mandy
7	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#532-kernel-based-mandy
13	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#533-alternating-ridge-regression
13	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
	https://github.com/PGelss/scikit_tt#54-tensor-based-extended-dynamic-mode-decomposition-tedmd
10	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
tedmd.py	https://github.com/PGelss/scikit_tt/blob/master/scikit_tt/data_driven/tedmd.py
	https://github.com/PGelss/scikit_tt#541-tensor-based-infinitesimal-generator-edmd-tgedmd
12, 13	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
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	https://github.com/PGelss/scikit_tt#55-ulams-method
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	https://github.com/PGelss/scikit_tt#6-quantum-simulation
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9	https://github.com/PGelss/scikit_tt/blob/master/README.md#12-references
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	https://github.com/PGelss/scikit_tt#8-examples
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	https://github.com/PGelss/scikit_tt#11-additional-information
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PyCharm	https://www.jetbrains.com/pycharm/
	https://github.com/PGelss/scikit_tt#113-license
LGPLv3+	https://www.gnu.org/licenses/lgpl-3.0.en.html
LICENSE.txt	https://github.com/PGelss/scikit_tt/blob/master/LICENSE.txt
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	https://github.com/PGelss/scikit_tt#12-references
data-driven	https://github.com/topics/data-driven
dynamical-systems	https://github.com/topics/dynamical-systems
als	https://github.com/topics/als
tensor	https://github.com/topics/tensor
dmrg	https://github.com/topics/dmrg
tensor-decomposition	https://github.com/topics/tensor-decomposition
scikit	https://github.com/topics/scikit
mandy	https://github.com/topics/mandy
tensor-train	https://github.com/topics/tensor-train
dynamic-mode-decomposition	https://github.com/topics/dynamic-mode-decomposition
quantum-simulation	https://github.com/topics/quantum-simulation
tensor-network	https://github.com/topics/tensor-network
mals	https://github.com/topics/mals
slim-decomposition	https://github.com/topics/slim-decomposition
extended-dynamic-mode-decomposition	https://github.com/topics/extended-dynamic-mode-decomposition
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Scikit-TT v1.2 Latest Dec 8, 2022	https://github.com/PGelss/scikit_tt/releases/tag/1.2
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Python 86.0%	https://github.com/PGelss/scikit_tt/search?l=python
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