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tensor-house
Jupyter Notebook

tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

by ikatsov · GitHub
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aicustomer-analysisdata-scienceApache-2.0Jupyter Notebook
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Explore a collection of example projects and resources for applying AI and machine learning in business settings.

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1 4521 450
2026-07-202026-08-31
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📄 About

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

tensor-house has 1.5k stars on GitHub. It has been forked 511 times. tensor-house is written mainly in Jupyter Notebook. It has been in active development since 2017. tensor-house is available under the Apache-2.0 license. Its main topics are ai, customer-analysis, data-science, deep-learning.

Frequently asked questions

What is tensor-house?

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Is tensor-house open source?

tensor-house is an open-source project. It is released under the Apache-2.0 license.

Is tensor-house free?

Yes. tensor-house is free and open source — you can use, modify and self-host it.

What license does tensor-house use?

tensor-house is available under the Apache-2.0 license.

What language is tensor-house written in?

tensor-house is written mainly in Jupyter Notebook.

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