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- Scalable and user friendly neural 🧠 forecasting algorithms.
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
- Scalable machine 🤖 learning for time series forecasting.
- Lightning ⚡️ fast forecasting with statistical and econometric models.
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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PublicCalculates various features from time series data. Python implementation of the R package tsfeatures.vantage
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