R and Python Packages:
We have built several packages for easy implementation of the methods developed in our studies.
- install.packages("hybridts") - Hybrid Time Series Forecasting Using Error Remodeling Approach [CRAN Link]
- install.packages("epicasting") - An Ensemble Wavelet Neural Network for Forecasting and Epicasting (EWNet) [CRAN Link]
- install.packages("countts") - Thomson Sampling for Zero-Inflated Count Outcomes [CRAN Link]
- pip install imbalanced-spdf - Shape Penalized Decision Forests for Imbalanced Data Classification [Python Package]
Note: To access the publications, please refer to my Google Scholar Profile.