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Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
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Latest capture 2026-06-19 22:45
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Time series analysis in the `tidyverse`
Scalable machine 🤖 learning for time series forecasting.
A unified framework for machine learning with time series
Extremely fast Query Engine for DataFrames, written in Rust
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Automatic extraction of relevant features from time series:
