Shypd.aiThe largest open index of AI toolsflow-forecast is a deep learning PyTorch library for time series forecasting, classification, and anomaly detection. It provides state-of-the-art models like transformers, attention models, and GRUs, with cloud integration and model serving capabilities.
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Flow Forecast (FF) is an open-source deep learning framework built on PyTorch, specifically designed for time series forecasting, classification, and anomaly detection. Originally developed for flood forecasting, it now supports a wide range of applications. The library integrates the latest state-of-the-art models, including various transformer architectures, attention models, GRUs, and ODEs. It emphasizes interpretability with easy-to-understand metrics and offers seamless integration with cloud providers like Google Cloud Platform, along with model serving capabilities. Flow Forecast was a pioneer in offering transformer-based models for time series and aims to be an end-to-end deep learning solution.
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