time-series-segmentation 开源项目推荐（20 个）

sktime /sktime

一个用于时间序列机器学习的统一框架

stumpy-dev /stumpy

STUMPY是一个强大且可扩展的Python库，用于现代时间序列分析

aeon-toolkit /aeon

时间序列机器学习和深度学习工具包

lzz19980125 /awesome-time-series-segmentation-papers

本库包含关于时间序列分割的论文阅读清单。该库仍在不断改进中。

ermshaua /claspy

ClaSPy: A Python package for time series segmentation.

ermshaua /time-series-segmentation-benchmark

This repository contains the time series segmentation benchmark (TSSB).

NorskRegnesentral /skchange

A python library for fast and flexible changepoint detection

vkhamesi /ocpdet

📦 A Python package for online changepoint detection, implementing state-of-the-art algorithms and a novel approach based on neural networks.

ermshaua /mobile-sensing-human-activity-data-set

This is the supporting website for the paper "MOSAD – a new data set for mobile sensing of human activities".

ayrna /tssa

Time Series Segmentation Algorithms

yzhaoinuw /sleep_scoring

Desktop app for scoring mouse sleep from EEG, EMG, and norepinephrine recordings — visualize, auto-score with a neural network, correct by hand, and export sleep statistics.

fchamroukhi /mixHMMR_m

Clustering and segmentation of heterogeneous functional data (sequential data) with regime changes by mixture of Hidden Markov Model Regressions (MixFHMMR) and the EM algorithm

B0scos /Financial-Funds-Clustering

A Python pipeline for segmenting financial assets using unsupervised learning models like K-Means and GMM. This project evaluates clustering configurations not only on performance (Silhouette Score) but also on their statistical stability across train, test, and validation sets using the Wasserstein distance.

Mureilfortysixth457 /Qwen3.6-27B-AEON-Ultimate-Uncensored-MLX

Run the uncensored Qwen3.6-27B-AEON model on Apple Silicon hardware using native MLX optimization.

Beliavsky /Multivariate-ChangePoints

Find changepoints in the correlation and covariance matrices of a multivariate time series and in the mean and variance of a univariate time series

fchamroukhi /mixHMM_m

Clustering and segmentation of heteregeneous functional data (sequential data) by mixture of gaussian Hidden Markov Models (MixFHMMs) and the EM algorithm

pintamonas4575 /SERTEMP-project-MAADM-UPM

AI models applied to temporal series. Subject from UPM´s master degree in Machine Learning and Big Data

Observarun /Hierarchical-path-segmentation-I

Codes for generating step length and turning angle series from relocation time series track, their segmentation, and clustering to extract StaMEs, as performed in https://doi.org/10.1101/2023.12.27.573450.

Observarun /Hierarchical-path-segmentation-II

Codes for segmenting and clustering of relocation time series data to generate StaMEs and CAMs, coding of raw CAMs with StaMEs as bases, CAM rectification, and comparison of coding schemes, as performed in https://doi.org/10.1101/2024.08.02.606194.

paulinelemenkova /pacific-trench-segmentation

Automatic changepoint detection (PELT, RBF-kernel cost) for multivariate 1-D signal segmentation, with permutation-based significance testing. Python: NumPy, pandas, ruptures, PyGMT.