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 (2 years ago)

Commits 1,167 (last one 3 months ago)

Stargazers 111 (0 this week)

Watchers 7 (0 this week)

Forks 10

License mit

Ranking

RepositoryStats indexes 534,880 repositories, of these cair/tmu is ranked #254,003 (53rd percentile) for total stargazers, and #259,002 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,598/103,597.

cair/tmu is also tagged with popular topics, for these it's ranked: gpu (#526/826), cuda (#356/585)

Other Information

cair/tmu has 1 open pull request on Github, 19 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 22 open issues and 26 closed issues.

There have been 8 releases, the latest one was published on 2024-03-25 (3 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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776 commits on the default branch (main) since jan '22

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

updated: 2024-06-30 @ 12:36am, id: 432516978 / R_kgDOGcevcg