winedarksea/AutoTS
Automated time series forecasting library using ML, deep learning, and genetic algorithm-based AutoML.
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AutoTS is a Python library for rapidly deploying time series forecasts at scale. It provides dozens of forecasting models (naive, statistical, ML, and deep learning) with sklearn-style APIs that work directly on Pandas DataFrames. The library includes over 30 time series-specific transforms and automatically searches for optimal model configurations through genetic algorithms. It supports multivariate forecasting, probabilistic bounds, and horizontal/mosaic ensemble methods for scalable predictions across thousands of series.
Frequently asked
- What is winedarksea/AutoTS?
- Automated time series forecasting library using ML, deep learning, and genetic algorithm-based AutoML.
- Is AutoTS open source?
- Yes — winedarksea/AutoTS is open source, released under the MIT license.
- What language is AutoTS written in?
- winedarksea/AutoTS is primarily written in Python.
- How popular is AutoTS?
- winedarksea/AutoTS has 1.4k stars on GitHub.
- Where can I find AutoTS?
- winedarksea/AutoTS is on GitHub at https://github.com/winedarksea/AutoTS.