ikatsov / 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.

Date Created 2017-11-24 (6 years ago)

Commits 152 (last one 9 months ago)

Stargazers 1,263 (0 this week)

Watchers 57 (0 this week)

Forks 472

License apache-2.0

Ranking

RepositoryStats indexes 579,238 repositories, of these ikatsov/tensor-house is ranked #40,905 (93rd percentile) for total stargazers, and #35,473 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #840/16,882.

ikatsov/tensor-house is also tagged with popular topics, for these it's ranked: deep-learning (#1,084/8339), machine-learning (#1,118/7866), ai (#463/3805), llm (#361/2654), data-science (#342/2095), reinforcement-learning (#134/1293), marketing (#15/103)

Other Information

ikatsov/tensor-house has Github issues enabled, there are 12 open issues and 3 closed issues.

There have been 4 releases, the latest one was published on 2024-01-24 (9 months ago) with the name v1.2.0.

All Topics

ai llm models marketing data-science supply-chain deep-learning personalization machine-learning customer-analysis reinforcement-learning

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Recent Commit History

50 commits on the default branch (master) since jan '22

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-05 @ 05:28pm, id: 111952660 / R_kgDOBqxDFA