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Hi there πŸ‘‹

πŸ“– About ME

  • πŸ’Ό ML enthousiast continiously conducting research about their applications

  • πŸ“« [email protected]

⬆ Research Interest

  • 1️⃣ Deep learning for time series.
  • 2️⃣ Anomaly detection in human behavior.
  • 3️⃣ ML applications in wearable devices and smart homes.
  • 4️⃣ Smart cities and digital twins

bhafsa's Projects

fl-nilm icon fl-nilm

The current notebook implements a simple disaggregator for deep-nilmtk models compatible with NILMtk.

generative-ai icon generative-ai

18 Lessons, Get Started Building with Generative AI πŸ”— https://microsoft.github.io/generative-ai-for-beginners/

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

llm.c icon llm.c

LLM training in simple, raw C/CUDA

mathjs icon mathjs

An extensive math library for JavaScript and Node.js

neuralnilm icon neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

nilmtk icon nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

opencv icon opencv

Open Source Computer Vision Library

poseidon icon poseidon

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict both the type of device and if the device is acting normally or abnormally.

posh-wolf icon posh-wolf

Posh Wolf, a flow shop solver - Ruby on Rails front-end

pyts icon pyts

A Python package for time series classification

qud-dataset icon qud-dataset

Qatar university dataset (QUD) is an open access repository, which includes micro-moments power consumption footprints of different appliances. It is collected at Qatar university energy lab. In the initial version of QUD, power usage footprints have been gathered for a period of more than 3 months until now. The collection campaign is still ongoi

repairshop icon repairshop

:hammer: A web-based computer repair management system

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