matrixprofile
Time Series Miner
A Python library implementing matrix profile algorithms for time series data mining tasks
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
362 stars
18 watching
62 forks
Language: Python
last commit: 12 months ago
Linked from 1 awesome list
algorithmsanomaly-detectionclusteringdata-miningdata-sciencehacktoberfestmatrixprofilemotif-discoverypythonpython2python3segmentationtime-seriestime-series-analysis
Related projects:
Repository | Description | Stars |
---|---|---|
johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
alkaline-ml/pmdarima | A statistical library for time series analysis and forecasting | 1,594 |
rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,111 |
functime-org/functime | A Python library for time-series forecasting and feature extraction using parallel processing techniques | 1,044 |
jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 571 |
sciruby/statsample-timeseries | An extension to Statsample with time series functions and estimation techniques | 13 |
nipy/nitime | Tools and algorithms for time-series analysis in neuroscience data | 244 |
predict-idlab/tsflex | A toolkit for flexible time series processing and feature extraction. | 402 |
x-datainitiative/tick | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 491 |
maxbenchrist/tspreprocess | A Python package for preprocessing time series data to improve analysis quality | 60 |
linkedin/luminol | A library for detecting anomalies and calculating correlations in time series data. | 1,189 |
microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 405 |
rafa-rod/pytrendseries | A Python library for detecting trends in time series data and analyzing their characteristics. | 126 |
nixtla/mlforecast | A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. | 899 |