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Mahnoor Shahid

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.

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🧰 Languages and Tools

Python

Pytorch

Tensorflow

Numpy

Pandas

PyCharm

Git

JupyterLab

HTML

CSS

JavaScript

React

Flutter

TypeScript

C++


📊 Github Usage Statistics

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Mahnoor Shahid's Projects

adversarial-ml-101 icon adversarial-ml-101

A beginner friendly repository for getting started with adversarial machine learning in PyTorch

nilm_analyzer icon nilm_analyzer

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.

nilm_analyzer_tutorials icon nilm_analyzer_tutorials

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.

seq2point icon seq2point

Easy to implement and customize an end-to-end machine learning pipeline for training the archiecture of seq2point model for energy disaggregation. Run experiments and analyze training procedures or models with ease.

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