Showing 9 of 9 projects
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
An open-source forecasting tool for time series data with multiple seasonality and linear or non-linear growth.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
An open-source, cross-platform machine learning framework for .NET developers to build, train, and deploy custom ML models.
A Python library for lightning-fast univariate time series forecasting with optimized statistical and econometric models.
A Python library offering scalable and user-friendly implementations of state-of-the-art neural forecasting models.
An open-source Python library for probabilistic time series modeling with both frequentist and Bayesian inference methods.
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