《神经网络与深度学习》案例与实践

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Cur…

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Time-Series models for multivariate and multistep forecasting, regression, and classification

Machine Learning for Time-Series with Python.Published by Packt

Tensorflow implementation of Amazon DeepAR