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shanmcm/README.md

Hi there, Shan here 👋

I'm a MSc Data Science and Engineering student.
To know a bit more about me you can check out my Linkedin

Projects

📸 Open World Recognition in Image Classification: (🔗Code | 📄Paper)

  • Focuses on Incremental Learning as seen in iCaRL
  • Adds a naive and non naive rejection strategy for Open Wolrd scenario
  • Developed using python and PyTorch

🦠 Network Dynamics: (🔗Repository)

  • Collection of exercises on graphs in Python using NetworkX library.
  • Covers opinion dynamics and convergence to consensus, Markov chains to simulate the movement of particles in a network and simulations of epidemics.

🍷 Predicting a wine's score: (🔗Code | 📄Paper)

  • Predict the quality of a wine based on information such as country, description, variety ect.
  • Developed in python

💹 The SIR Model for Spread of Disease and its analysis for COVID-19: (🔗Code | 💬Presentation)

  • B.Eng. Thesis focused on modelling the trend of COVID-19
  • Uses the SIRD model with time-dependent rates
  • Developed in MATLAB

EZGas: (🔗Code)

  • Crowdsourcing service that allows users to locate gas stations in an area, check and update prices for a given station, add stations that re not currently in the system
  • Developed in Java using Spring Framework

Pinned

  1. BEng-Thesis BEng-Thesis Public

    MATLAB

  2. EzGas EzGas Public

    Java

  3. iCaRL iCaRL Public

    Python

  4. Network-Dynamics Network-Dynamics Public

    Collection of exercises on Graphs

    Jupyter Notebook

  5. Predicting-a-wine-s-score Predicting-a-wine-s-score Public

    Jupyter Notebook