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followers: 0.0 following: 2.0 repos: 21.0 gists: 0.0

Name: Ryan Smith

Type: User

Company: University College Dublin

Bio: PhD student at University College Dublin. Research interests in numerical simulation of fluids and applying machine learning to study breaking waves.

Location: Ireland

Ryan Smith

PhD student at University College Dublin in the School of Mathematics and Statistics. My research interests are in the application of machine leaning to study fluids, and in particular my work is focused on computer vision methods applied to breaking ocean waves.

I also enjoy playing chess, reading, and training BJJ.

Ryan's GitHub stats Top Langs

Programming Languages

Python
  • Pytorch
  • Tensorflow
  • SciKit-Learn
  • Pandas
  • Numpy
  • Image analysis
  • OpenCV
  • Matplotlib/Seaborn/Plotly
  • Object Oriented Programming
C/C++
  • Fluid Simulation (C)
  • Object Oriented Programming (C++)
  • OpenCV (C++)
  • MakeFiles, CMake, Meson/Ninja
Rust
  • (In progress)...
MATLAB
  • Scientific programming and scripting
R
  • Statistical and exploratory data analysis
  • Experience teaching R programming for University undergraduates for Statistics modules

Other stuff

  • šŸ”­ Iā€™m currently working on my PhD and some fun side projects
  • šŸŒ± Iā€™m currently learning - Rust, C++ (20), OpenCV in C++, Linux kernel dev
  • šŸ‘Æ Iā€™m open to collaborate on Python, C++ and Rust projects

Ryan Smith's Projects

cdcstatement icon cdcstatement

Repository for processing the CSV transaction files downloaded from a Crypto.com account.

chessengine icon chessengine

C++ chess engine and GUI for self-play or against computer.

gymbooking icon gymbooking

Automated booking for UCD gym so you don't miss out on the time slot you want.

metric-torch icon metric-torch

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

pi-torch icon pi-torch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

programmingrust icon programmingrust

Examples from Programming Rust, Fast, Safe Systems Development (2nd Edition)

thunder-lightning icon thunder-lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

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