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Showing results for thomas mayer
GitHub Repo https://github.com/ThomasMayerl/ThomasMayerl.github.io

ThomasMayerl/ThomasMayerl.github.io

No repository description available.
GitHub Repo https://github.com/maytho01/mayer.detailing

maytho01/mayer.detailing

Thomas Mayer Automotive Detailing
GitHub Repo https://github.com/tmellan/scripts_ThomasHPC

tmellan/scripts_ThomasHPC

Some scripts that may or may not be re-useable, used on the Thomas HPC cluster for submitting parallel jobs, collecting output data, etc..
GitHub Repo https://github.com/Choheron/thomascampbell.dev

Choheron/thomascampbell.dev

Personal Website Code - Migrated from an old version of React in May 2025
GitHub Repo https://github.com/finneycanhelp/kata-java-refactor-checkout

finneycanhelp/kata-java-refactor-checkout

With permission from Dave Thomas (given May 11, 2012), this is a variation of Dave Thomas–Pragmatic Programmer's "Kata Nine: Back to the CheckOut" from http://codekata.pragprog.com/2007/01/kata_nine_back_.html Dave Thomas–Pragmatic Programmer
GitHub Repo https://github.com/ulavalIFTGLOateliers/migration-de-bases-de-donn-es-thomas-mayer

ulavalIFTGLOateliers/migration-de-bases-de-donn-es-thomas-mayer

migration-de-bases-de-donn-es-thomas-mayer created by GitHub Classroom
GitHub Repo https://github.com/mouthful/ThomasNotes

mouthful/ThomasNotes

This is a repository of my own learning notes, also could be a tutorial. I will I will continue to update this new repository, which may include machine learning, deep learning, probability theory, information theory, pytorch, tensorflow, and some learning materials from numpy, which may be partially non-original but could be useful.
GitHub Repo https://github.com/MayEcon/mayecon.github.io

MayEcon/mayecon.github.io

Thomas May's personal website.
GitHub Repo https://github.com/ThomasGl/ThomasGl.github.io

ThomasGl/ThomasGl.github.io

May we be pleased while learning
GitHub Repo https://github.com/ThomasMrY/ThomasNotes

ThomasMrY/ThomasNotes

This is a repository of my own learning notes, also could be a tutorial. I will I will continue to update this new repository, which may include machine learning, deep learning, probability theory, information theory, pytorch, tensorflow, and some learning materials from numpy, which may be partially non-original but could be useful.