abstractmachine/ThinkingMachines

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abstractmachine/ThinkingMachines

abstractmachine

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Thinking Machines is a semester project at the Media Design Master, HEAD – Genève, in which students will revisit the concept of “personal computers” in the age of neural networks and explore how the creation of personalised assistants can reshape their creative workflow.

interaction-design-tools

A list of the basic tools needed to study interaction design, with an accent on creative coding. Created for https://abstractmachine.net/tutorials.

Unity-LiquidShader

UnitySerialPort

This is a simple SerialPort project for Unity3D.

head-md-time-in-time-out

This is an example project from the Time In Time Out project of the Media Design Master, HEAD–Genève

RPI4-OF11-OpenCV4.5-Instructions

These are the steps required to build a command-line only Raspberry PI 4 image for openFrameworks 11 and OpenCv 4.5.x

head-media-design-twee-time-in-time-out

This is our Twee slideshow shown in the first day of class of the Time In Time Out project.

CrashCards

Crash Cards are used for the acceleration of ideas and projects in workshops.

ArduboyController

Converts the Arduboy into a basic keyboard-based game controller. For more info on Arduboy, cf. https://www.arduboy.com

head-md-drawing-futures-color-catcher

This is the code for the ColorCatcher project, exhibited at the Drawing Futures exhibition at Espace Créatif Caran d'Ache, Plateforme 10.

head-irad-design-and-machine-learning

"Design and Machine Learning: Automation Takes Command?" is a research project of IRAD, HEAD–Genève

head-md-folding-worlds

A folding workshop at the Master Media Design, HEAD – Genève

ACrossingIndustry

A Crossing Industry is a game currently in development by the Atelier Hypermédia, École supérieure d'art d'Aix en Provence.

Corita

Corit.ai is an interactive text transformer Professor, trained on the oral histories of the visual artist and professor Corita Kent.

head-machine-learning-gpt-2

A tutorial checklist for installing, training, and using gpt-2

tutorial-huggingface

This tutorial explains how to create a dataset on Huggingface and retrain it with a large language model