multiple-time-series

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Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

End-to-End Python based ML project focusing on forecasting multiple multivariate time series with production grade deployment techniques.

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

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