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- Scalable and user friendly neural 🧠 forecasting algorithms.
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
- 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 🚀.
- Lightning ⚡️ fast forecasting with statistical and econometric models.
docs
Public- Scalable machine 🤖 learning for time series forecasting.
examples
Publicpopol-vuh
Publicapi-status-pixel
Public archiveinkeep-ai-api-python
Publicpublic-slides
Publictsfeatures
PublicCalculates various features from time series data. Python implementation of the R package tsfeatures.driverlessai-recipes
Publicstyles
Publicblog
Publicmethodologies
Public