MOMENT: A Foundation Model for Time Series Forecasting, Classification, Anomaly Detection and Imputation

MOMENT is the latest foundation time-series model by CMU (Carnegie Mellon University)

Building upon the work of TimesNet and GPT4TS, MOMENT unifies multiple time-series tasks into a single model.

You can find an analysis of the model [here](https://aihorizonforecast.substack.com/p/moment-a-foundation-model-for-time).

anomaly anomaly detection building carnegie mellon carnegie mellon university classification cmu deeplearning detection forecasting foundation foundation model imputation moment multiple series tasks time series time series forecasting university work