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HugoPhibbs/README.md

Master's in Computer Science Graduate from the University of Auckland

  • My technical background is primarily in GPU-accelerated data mining and full-stack engineering
  • Interested in roles within full-stack, backend or data engineering

Selected Projects

  • nz-census-map: visualising the NZ Census with an interactive map. Built using Python and Next.js
  • CuFalconn: GPU-accelerated nearest neighbour search, using random projection and locality sensitive hashing
  • CUDA-sDBSCAN: GPU-accelerated density based clustering using random projections
  • MaraeMaps: Team project for visualising Marae locations around NZ.

Pinned Loading

  1. nz-census-map nz-census-map Public

    Visualising the 2023 NZ Census with an interactive map

  2. CuFalconn CuFalconn Public

    GPU-accelerated Nearest Neighbour Search using Hashing and Random Projections

    Dockerfile

  3. CUDA-sDBSCAN CUDA-sDBSCAN Public

    A GPU accelerated approximate DBSCAN algorithm

    C++ 1

  4. MaraeMaps/MaraeMaps MaraeMaps/MaraeMaps Public

    Android app for mapping Marae

    Kotlin

  5. AIML402_Assignment3 AIML402_Assignment3 Public archive

    A GAN model for the MNIST dataset

    Jupyter Notebook

  6. EventCalendar EventCalendar Public archive

    Event booking system

    TypeScript 1