I wrote a book for O'Reilly about Machine Learning. It will teach you a wide range of techniques, using projects similar to the sort of thing that you can find on this website. Word2Vec, GANs, music analysis. You should buy it! Oh and all the code is on GitHub.
A browser for an internet that doesn't exist, inspired by Borges' Library of Babel. Type any URL and an AI hallucinates a plausible web page. Click links to keep browsing.
Based on OpenAIs DALL-E-2, The AI not taken generates illustrations for well known poems. For each poem there is an associated artist (usually from the same time, maybe same style) that is used to create an image in that style matching each line of the poem.
Start from a simple square and follow different evolutionary paths to create a complex animation. Each step the AI will create a new animation based on the previous one and your prompt.
An MCP server that lets AI agents like Goose publish static websites as Tor hidden services (.onion sites)
Inspired by Gap Minder, this shows the population of the countries of the world by morphing their shapes from 1880 to 2020.
Gramzoom uses the key element of the Style Tranfer Algorithm to create an infinitely zoomable movie from any image. It works best with images that are self similar, but anything will really do. Can cats look evil? It might just break the Internet.
Create universal numbers by comparing the edit distance between all numbers from Wikitravel's phrasebooks and for each picking the 'median' one. As a side effect, create a tree an evolutionary tree.
Mostly for the 2014 World Cup, with some adjustments to make it work for the European Championship in 2016,this model takes previous matches and tries to predict the future outcomes. The model is super simple andyet especially in 2016 did rather well.
Generated using stable diffusion, here we have the states and DC each represented by an image of their state animals. Another historical example of how revolutionary this was at the time and now trivial for anybody with access to their favorite chatbot.
Using the Artistic Style algorithm to restyle pictures of museums in the style of their most famous painting. This way you get immediately an idea of what to expect at these museums. Uses data from Wikipedia, Wikidata andthe Wikistats. Uses Anish Athalye Tensorflow implementation
An implementation of deep dreaming where the network is restricted to just black and white and starts with a blob in the middle. It forces it to draw from the center and create ink like patterns.
Using Recurrent Neural Networks to generate Icons and Hieroglyphs. The icons are encoded in a machine learnable format.
An implementation of a Spotify-like song radio based on Word2Vec. Based on a large set of crawled playlists and using those playlists as sentence equivalents. The Word2Vec algorithm then produces a vector per song.
Color a world or US map by how semantically close a word is to each country (or state) name. Built on Google News Word2Vec. The geography of meaning ends up remarkably readable: "vodka" lights up Eastern Europe, "desert" the dry bits of the planet.
This project uses the twitter api to automatically generate tweets based on what is commonly tweeted. It listens to the general tweetstream and captures fragments. By randomly recombining those fragments something that reads almost like real tweets appears. It also gives an interesting insight into what the average user uses twitter for.