Flow Forecast
A Multivariate Deep Learning for Time Series Forecasting Library
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Current Contributors/Maintainers:
@Isaac Godfried - Project lead
@kriti mahajan
@Pranjalya Tiwari
@Yeziwei Wang
@Kevin Li
@Adam Murphy
Prior Contributors:
Michael Wang
Wendy Mak
Jane Thompson
Project Goals
Provide a central repository of the latest deep learning for time series techniques.
Allow data scientists and ML engineers to easily test many different models and slight architectural variations to address their specific business use case.
Enable researchers to easily experiment, develop, and test novel deep learning for time series architectures.
Facilitate the incorporation of many modalities of data to improve model performance.
Open source and benchmark time series datasets in health, climate, and agriculture.
Enable easy integration with cloud providers AWS, GCP, Azure.