Research Associate at University Duisberg Essen | PhD Student
Focused on transfer learning and domain adaptation techniques in NILM and quantitaively evaluating model generalization by estimating domain discrepancy.
Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resampling, normalization and extract activities by thresholding.
This repository is more like a user guide that uses nilm-analyzer python package and demonstrates how it can be accessed and how it can be utilized with its provided funtionalities.
Jupyter Notebook 5
Forked from shahrukhx01/adversarial-ml-101
A beginner friendly repository for getting started with adversarial machine learning in PyTorch
Jupyter Notebook