AIxDesign Library

Typing in my artist statement 2020 to AttnGAN - text to image generator

Analyze user behavior, enhance UX, and optimize designs by utilizing AI generated Attention Heatmaps and Clarity score.

Tools for quickly normalizing image datasets. Contribute to dvschultz/dataset-tools development by creating an account on GitHub.

Digital collages based on public domain scientific illustrations of plants and animals from the Biodiversity Heritage Library.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

An artistic research initiative seeking to make connections between the formats and collections of anatomical knowledge and investigations into the “anatomy” of computational learning and prediction processes, datasets and machine learning models by Joana Chicau and Jonathan Reus.

By Katherine Miller | A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.

UX/UI lead for Capital One's Machine Learning Platform design team in VIenna.

We call for collaborative practitioners in art, design and technology to explore Artificial Intelligence (AI) & Machine Learning (ML), data & networks.

The days of learning data science by passively consuming video lectures are over. Real learning takes place when a student’s hands are on the keyboard, writing code, working with data, and solving problems. If you agree, keep reading!

Explore album covers by their color schemes

Recognition was an artificial intelligence program that compares up-to-the-minute photojournalism with British art from the Tate collection.

Machine Learning Experiments Demo

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo - trekhleb/machine-learning-experiments

A curated list of awesome Human-AI Interaction. Contribute to bwang514/awesome-HAI development by creating an account on GitHub.

All code and materials for the DAAD introductory workshop on machine learning - alsino/creative-applications-ml

Repository for the "Machine Learning for the Web" class at ITP, NYU - yining1023/machine-learning-for-the-web

This interactive course dives into the fundamentals of artificial neural networks, from the basic frameworks to more modern techniques like adversarial models. You’ll answer questions such as how a computer can distinguish between pictures of dogs and cats, and how it can learn to play great chess. Using inspiration from the human brain and some linear algebra, you’ll gain an intuition for why these models work – not just a collection of formulas. This course is ideal for students and professionals seeking a fundamental understanding of neural networks, or brushing up on basics.

Reading List for Machine Learning sources, API's, ideas and tutorials. - HR-CMGT/Machine-Learning-Readinglist

Examples and experiments around ML for upcoming Coding Train videos - CodingTrain/Machine-Learning

A web editor for p5.js, a JavaScript library with the goal of making coding accessible to artists, designers, educators, and beginners.

machine learning for artists. ml4a has 6 repositories available. Follow their code on GitHub.

Curated list of Creative Technology groups, companies, studios, collectives, etc. - j0hnm4r5/awesome-creative-technology

Het Nieuwe Instituut | Rotterdam / Remote

Try out deep learning models online on Google Colab - tugstugi/dl-colab-notebooks

Your AI yoga companion by Christina Maillo.

Democratizing AI ethics literacy.