 tslearn
 tslearn 
 TS Library
 A Python toolkit for time series analysis and machine learning algorithms
The machine learning toolkit for time series analysis in Python
3k stars
 60 watching
 343 forks
 
Language: Python 
last commit: over 1 year ago 
Linked from   2 awesome lists  
  dtwdynamic-time-warpingmachine-learningmachine-learning-algorithmsmachinelearningpythontime-seriestime-series-analysistime-series-classificationtime-series-clusteringtimeseries 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A comprehensive deep learning package for time series data analysis and forecasting. | 5,338 | 
|  | An automated feature extraction tool for time series data, removing irrelevant features and improving machine learning model performance. | 8,486 | 
|  | A unified framework for machine learning with time series data analysis | 8,020 | 
|  | A machine learning tool for time series data analysis and modeling | 573 | 
|  | A Python package for building probabilistic models of time series data using deep learning techniques. | 4,677 | 
|  | A Python package for aggregating and analyzing time series data to accelerate model runs | 150 | 
|  | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 495 | 
|  | A toolkit for flexible time series processing and feature extraction. | 405 | 
|  | A Python library providing fast and efficient smoothing and outlier detection techniques for time series data. | 743 | 
|  | A framework to perform time series forecasting using machine learning models on large datasets. | 924 | 
|  | A Python library for building machine learning models to forecast time series data | 1,189 | 
|  | A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures | 4,038 | 
|  | A Python library for user-friendly time series forecasting and anomaly detection | 8,166 | 
|  | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 | 
|  | A Python package for preprocessing time series data to improve analysis quality | 60 |