AIStream-Peelout/flow-forecast
A PyTorch-based deep learning framework for time series forecasting, classification, and anomaly detection.
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Flow Forecast is an open-source deep learning library built on PyTorch that provides state-of-the-art models including transformers, attention models, LSTMs, and GRUs for time series tasks. It supports forecasting, classification, regression, and anomaly detection with interpretability metrics, cloud provider integration, and model serving capabilities. Originally developed for flood forecasting, it now serves as a general-purpose time series deep learning framework.
Frequently asked
- What is AIStream-Peelout/flow-forecast?
- A PyTorch-based deep learning framework for time series forecasting, classification, and anomaly detection.
- Is flow-forecast open source?
- Yes — AIStream-Peelout/flow-forecast is open source, released under the GPL-3.0 license.
- What language is flow-forecast written in?
- AIStream-Peelout/flow-forecast is primarily written in Python.
- How popular is flow-forecast?
- AIStream-Peelout/flow-forecast has 2.3k stars on GitHub.
- Where can I find flow-forecast?
- AIStream-Peelout/flow-forecast is on GitHub at https://github.com/AIStream-Peelout/flow-forecast.