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GitHub / eonu / sequentia

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

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eonu%2Fsequentia

Stars: 58
Forks: 7
Open Issues: 2

License: mit
Language: Python
Repo Size: 43.6 MB
Dependencies: 31

Created: over 4 years ago
Updated: about 2 months ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Commit Stats

Commits: 207
Authors: 2
Mean commits per author: 103.5
Development Distribution Score: 0.005
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/eonu/sequentia

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

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