eonu / sequentia

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Date Created 2019-11-27 (4 years ago)

Commits 268 (last one 6 months ago)

Stargazers 63 (0 this week)

Watchers 5 (0 this week)

Forks 8

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these eonu/sequentia is ranked #394,002 (32nd percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #74,456/115,123.

eonu/sequentia is also tagged with popular topics, for these it's ranked: python (#16,336/21870), machine-learning (#5,923/7877), time-series (#496/653)

Other Information

eonu/sequentia has Github issues enabled, there is 1 open issue and 43 closed issues.

There have been 28 releases, the latest one was published on 2024-04-13 (6 months ago) with the name v2.0.2.

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

All Topics

dtw hmm knn python time-series variable-length machine-learning sequential-patterns dynamic-time-warping hidden-markov-models multivariate-timeseries sequence-classification classification-algorithms time-series-classification k-nearest-neighbor-classifier

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

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updated: 2024-11-05 @ 03:04pm, id: 224449328 / R_kgDODWDTMA