Stephen Tseng's starred repositories
awkward-0.x
Manipulate arrays of complex data structures as easily as Numpy.
Localised_Ensembles
This repository contains the experiments of our paper titled, "Ensembles of Localised Models for Time Series Forecasting" which is online available at: https://doi.org/10.1016/j.knosys.2021.107518. In this work, we study how ensembleing techniques can be used to solve the localisation issues of global forecasting models.
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
FFORMA-ESRNN
State of the art time series forecasting method that has the FFORMA ensemble learn from the ESRNN hybrid model and others.
tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.