cair / tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

Date Created 2021-11-27 (3 years ago)

Commits 1,181 (last one 24 days ago)

Stargazers 131 (0 this week)

Watchers 10 (0 this week)

Forks 14

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these cair/tmu is ranked #244,686 (59th percentile) for total stargazers, and #207,845 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #44,851/119,431.

cair/tmu is also tagged with popular topics, for these it's ranked: gpu (#532/918), cuda (#362/652)

Other Information

cair/tmu has 1 open pull request on Github, 20 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 24 open issues and 26 closed issues.

There have been 8 releases, the latest one was published on 2024-03-25 (9 months ago) with the name v0.8.3.

Homepage URL: https://pypi.org/project/tmu/

All Topics

gpu cuda sparse regression autoencoder convolution incremental multi-output tsetlin-machine absorbing-states relational-logic pattern-recognition propositional-logic incremental-computation

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790 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-12-06 @ 12:46am, id: 432516978 / R_kgDOGcevcg