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== Terminal (console) ==
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== Getting started ==
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=== Intro ===
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[[File:2080gtxti.jpg|thumb|The Interaction Station has multiple desktop PC's equipped with a NVIDIA RTX 2080 TI graphics card|250px]]
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To make your life a bit easier we've installed some machine- and deep learning (ML) algorithms for you at the Interaction Station! Our repository containing all the installed ML models & tools can be found [https://github.com/mywdka/MachineLearning here]. This repository could come in handy if you have your own desktop computer with a NVIDIA GTX 1060 GPU (graphics card) or better. Most of the ML models require a dedicated GPU, which means that MacBooks won't work.
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=== Setup ===
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To get started with a ML model at the Interaction Station, we need to use login to Ubuntu on a computer. Ubuntu is a version of [https://en.wikipedia.org/wiki/Linux Linux], which is one of the three well-known operating systems we use at the WDKA (MacOS, Windows, Ubuntu). Please follow [https://interactionstation.wdka.hro.nl/wiki/Ubuntu_(Linux) this] setup guide. After completing the setup guide, pick one of the ML models or tools below this paragraph to get started with machine learning!<br/><br/>
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<span style="color:red;">'''To continue follow [https://interactionstation.wdka.hro.nl/wiki/Ubuntu this] setup guide'''</span>
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== Machine Learning Repositories ==
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=== Tools ===
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==== dataset-tools ====
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'''<u>Links</u>'''<br/>
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Original: [https://github.com/dvschultz/dataset-tools Github]<br/>
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WDKA Fork: [https://github.com/mywdka/dataset-tools Github]<br/>
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=== Object detection ===
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==== YOLOv3 ====
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'''<u>Links</u>'''<br/>
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Original: [https://github.com/AntonMu/TrainYourOwnYOLO Github]<br/>
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WDKA Fork: [https://github.com/mywdka/TrainYourOwnYOLO Github]<br/>
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=== Generative (GANs) ===
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==== StyleGAN2 ====
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'''<u>Links</u>'''<br/>
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Original: [https://github.com/NVlabs/stylegan2 Github]<br/>
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WDKA Fork: [https://github.com/mywdka/stylegan2 Github]<br/>
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==== VQGAN-CLIP ====
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'''<u>Links</u>'''<br/>
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Original: [https://github.com/kcosta42/VQGAN-CLIP-Docker Github]<br/>
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WDKA Fork: [https://github.com/mywdka/VQGAN-CLIP-Docker/ Github]<br/>

Latest revision as of 14:26, 14 January 2022

Terminal (console)

Getting started

Intro

The Interaction Station has multiple desktop PC's equipped with a NVIDIA RTX 2080 TI graphics card

To make your life a bit easier we've installed some machine- and deep learning (ML) algorithms for you at the Interaction Station! Our repository containing all the installed ML models & tools can be found here. This repository could come in handy if you have your own desktop computer with a NVIDIA GTX 1060 GPU (graphics card) or better. Most of the ML models require a dedicated GPU, which means that MacBooks won't work.

Setup

To get started with a ML model at the Interaction Station, we need to use login to Ubuntu on a computer. Ubuntu is a version of Linux, which is one of the three well-known operating systems we use at the WDKA (MacOS, Windows, Ubuntu). Please follow this setup guide. After completing the setup guide, pick one of the ML models or tools below this paragraph to get started with machine learning!

To continue follow this setup guide

Machine Learning Repositories

Tools

dataset-tools

Links
Original: Github
WDKA Fork: Github

Object detection

YOLOv3

Links
Original: Github
WDKA Fork: Github

Generative (GANs)

StyleGAN2

Links
Original: Github
WDKA Fork: Github

VQGAN-CLIP

Links
Original: Github
WDKA Fork: Github