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tslearn-team
tslearn

The machine learning toolkit for time series analysis in Python

333K 3K 371
aeon-toolkit
aeon

A toolkit for time series machine learning and deep learning

42K 1K 268
TheDatumOrg
kshape

Python implementation of k-Shape

7K 362 106
time-series-machine-learning
tsml

A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!

3K 9 2
nla-group
fabba

An efficient symbolic time series approximation with ABBA.

3K 51 12
gmiaslab
pyiomica

PyIOmica (pyiomica) is a Python package for omics analyses.

827 16 3
protti
featts

FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.

570 17 2
FilippoMB
tsa-course

Book and material for the course "Time series analysis with Python" (STA-2003)

505 267 57
FilippoMB
reservoir-computing

Library for implementing reservoir computing models (Echo State Networks) for multivariate time series classification, clustering, and forecasting.

495 418 87
FilippoMB
tck

Kernel similarity for classification and clustering of multi-variate time series with missing values.

465 7 1
jonnevd
constrained-linkage

Hierarchical agglomerative clustering with soft constraints (SciPy-compatible Z).

312 0 0
ghar1821
chronoclust

A clustering algorithm that will perform clustering on each of a time-series of discrete datasets, and explicitly track the evolution of clusters over time.

162 17 4
S-bazaz
tsma

(time series model analyses) This package offers tools for analyzing models that generate multivariate time series as output.

91 2 1
boniolp
kgraph-ts

Graph Embedding for Interpretable Time Series Clustering

85 46 1
uGR17
timexseries-clustering

Library for Time-Series Clustering-as-a-Service.

66 2 1
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