seglearn
Time Series Tool
A machine learning tool for time series data analysis and modeling
Python module for machine learning time series:
573 stars
26 watching
63 forks
Language: Python
last commit: about 4 years agodata-sciencemachine-learningpythontime-series
Related projects:
| Repository | Description | Stars |
|---|---|---|
 alkaline-ml/pmdarima | A statistical library for time series analysis and forecasting | 1,603 |
 numaproj/numalogic | A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 168 |
 johannfaouzi/pyts | A Python package for time series classification and analysis | 1,781 |
 mohaseeb/shaplets-python | A Python implementation of a shapelet-based time-series classification algorithm using gradient descent. | 217 |
 sintel-dev/draco | A collection of end-to-end solutions for machine learning tasks commonly found in time series monitoring systems | 53 |
 nixtla/mlforecast | A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
 business-science/timetk | A comprehensive R package for time series analysis and forecasting with an emphasis on ease of use and extensive feature set. | 615 |
 jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
 cerlymarco/tsmoothie | A Python library providing fast and efficient smoothing and outlier detection techniques for time series data. | 743 |
 rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,114 |
 nipy/nitime | Tools and algorithms for time-series analysis in neuroscience data | 244 |
 thedatumorg/kshape-matlab | A Matlab implementation of an efficient and accurate unsupervised method for clustering time-series data | 53 |
 skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,189 |
 cauchyturing/ucr_time_series_classification_deep_learning_baseline | Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. | 682 |
 tuw-geo/pytesmo | A Python toolbox for comparing and validating geospatial time series datasets with an initial focus on soil moisture observations. | 78 |