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 8 months ago)

Stargazers 1,248 (4 this week)

Watchers 57 (0 this week)

Forks 463

License apache-2.0

Ranking

RepositoryStats indexes 565,600 repositories, of these ikatsov/tensor-house is ranked #40,783 (93rd percentile) for total stargazers, and #35,355 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #832/16,305.

ikatsov/tensor-house is also tagged with popular topics, for these it's ranked: deep-learning (#1,083/8173), machine-learning (#1,114/7699), ai (#434/3591), llm (#337/2465), data-science (#343/2055), reinforcement-learning (#131/1260), marketing (#15/102)

Other Information

ikatsov/tensor-house has Github issues enabled, there are 11 open issues and 3 closed issues.

There have been 4 releases, the latest one was published on 2024-01-24 (8 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: 2024-09-29 @ 12:28pm, id: 111952660 / R_kgDOBqxDFA