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smpurkis/README.md

Hello there, my name is Sam 👋

I'm a Christian, Developer, ML/AI Lover and lifetime Learner!

  • I'm constantly learning and tinkering with Artificial Intelligence 🤖 and Machine Learning, example.
  • I am currently learning PyTorch 🔥, as I've found TensorFlow a bit buggy 🐛.
  • I am learning more Javascript, to show more of what AI can do, simple example.
  • I'm also learning Rust, mainly as I'm interested in WebAssembly (Wasm).
  • I love Python (the best language 🐍), and enjoy seeing what I can do with it and increasing its performance.
  • I would like to contribute to more open source projects 😄.

Project Highlights

Python

  • Face Detection from Scratch - Face detection using Yolo architecture from scratch. Uses Pytorch/Pytorch Lightning as the ML framework
  • Chess CNN - Convolutional Neural Network trained using supervised learning on grandmaster chess players (sourced from Lichess). Uses Keras.
  • Animal Population Simulation - Population simulation of "foxes", "pigs" and "grass" to see how the patterns change with initial conditions and hyperparameters. Uses Numpy and OOP practices.
  • Face Detection App - Fun little project, overlays swag glasses on the face. Built using Kivy (cross platform, mobile and desktop) and OpenCV.
  • Fast Json Normalize - A fast implementation of json_normalize function in Pandas (has been merged, see here).
  • Auto Beatsage - Gluing together YouTube to Beatsage with my Oculus Quest to add any YouTube song as a Beatsaber song.
  • Autocompile - Declarator to compile and speed up a function with Cython harnessing the type hints for type information. Uses Cython.
  • Crypto Price Dashboard - (WIP) Dashboard showing the price of different cryptocurrencies over time. Uses APIs and Dash.
  • Doorbell project - (WIP) A smart doorbell that announces who is at the door as they approach (e.g. Amazon delivery, Mother in Law)
  • PyTorch Playground - Collection of Colab Notebooks of me exploring different aspects of ML and PyTorch
  • Data Science with Python - A readme I made for a friend giving description of different Python libraries used for Data Science

JavaScript

My links

Sam Purkis | LinkedIn

Sam Purkis | Facebook

Sam Purkis | Reddit

Languages and Tools

These are languages, tools and projects I have experience with, either from work or on personal projects (not exhaustive).

Python Python

Javascript Javascript

Rust Rust

Popular repositories Loading

  1. kivy_object_detection_camera_app kivy_object_detection_camera_app Public

    An implementation of a object detection for mobile

    Python 13 5

  2. fast_json_normalize fast_json_normalize Public

    A package designed to be a fast implementation for the pandas json normalize function, as it can be rather slow when dealing with very large json objects

    Python 8

  3. asm_rs_bench asm_rs_bench Public

    gemv, gemm, llama.cpp arm64 optimised bench

    Rust 3

  4. auto_beatsage auto_beatsage Public

    A gui/command-line tool to download and deploy Youtube and Soundcloud songs and playlists directly through beatsage and install them onto your BeatSaber

    Python 2

  5. chess_cnn_supervised chess_cnn_supervised Public

    Train a chess CNN on collection of Grandmaster games

    Python 2

  6. motion_controlled_snake motion_controlled_snake Public

    Control snake using 4 different images from webcam for each direction

    JavaScript 2