sktime
Time Series Analysis Framework
A unified framework for machine learning with time series data analysis
A unified framework for machine learning with time series
8k stars
108 watching
1k forks
Language: Python
last commit: 2 months ago
Linked from 3 awesome lists
aianomaly-detectionchangepoint-detectiondata-miningdata-scienceforecastinghacktoberfestmachine-learningscikit-learnsktimetime-seriestime-series-analysistime-series-classificationtime-series-regressiontime-series-segmentation
josephmisiti/awesome-machine-learning
krzjoa/awesome-python-data-science
maxbenchrist/awesome_time_series_in_pythonRelated projects:
| Repository | Description | Stars |
|---|---|---|
 skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,189 |
| sktime/pytorch-forecasting | A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures | 4,038 |
| sktime/pysf | A Python library for supervised forecasting of sequential data | 55 |
| sktime/skpro | A unified framework for probabilistic regression and prediction with Python-based tools. | 250 |
 timeseriesai/tsai | A comprehensive deep learning package for time series data analysis and forecasting. | 5,338 |
 tslearn-team/tslearn | A Python toolkit for time series analysis and machine learning algorithms | 2,924 |
 dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 573 |
 nipy/nitime | Tools and algorithms for time-series analysis in neuroscience data | 244 |
 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. | 495 |
 numaproj/numalogic | A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 168 |
 awslabs/gluonts | A Python package for building probabilistic models of time series data using deep learning techniques. | 4,677 |
 sintel-dev/draco | A collection of end-to-end solutions for machine learning tasks commonly found in time series monitoring systems | 53 |
 alkaline-ml/pmdarima | A statistical library for time series analysis and forecasting | 1,603 |
 jaungiers/lstm-neural-network-for-time-series-prediction | A Python implementation of a Long Short-Term Memory neural network designed for predicting time series data sequences | 4,862 |
 rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,114 |