by Meta (Facebook) · 0 reviews
An open-source time series forecasting library that uses an additive model with non-linear trends, seasonal components, and holiday effects, available in Python and R.
by Google Research · 0 reviews
A transformer-based architecture for multi-horizon time series forecasting that provides interpretable predictions through attention mechanisms.
by scikit-learn · 0 reviews
An efficient unsupervised anomaly detection algorithm that isolates anomalies through random partitioning, robust to high-dimensional data.
by Nixtla · 0 reviews
A high-performance time series forecasting library featuring AutoARIMA, ETS, and other statistical models optimized for speed.
by scikit-learn · 0 reviews
An unsupervised anomaly detection method that computes local density deviations to detect anomalies relative to neighboring points.