Last year I went right over the top for National Novel Generating Month and wrote a dynastic succession simulator and blogged about it at length. Where did I get the time for that, I find myself asking.

This year I made something simpler. Formations is a parody or homage to …

I was tinkering around trying to get Justin Johnson's neural-style implementation working on the HPC - this is an algorithm which uses a deep learning image recognition net to extract low-level style features from one image and use them to render the large-scale contours of another. This technique has been commercialised …

I found out about NaPoGenMo halfway through April, and decided to do something throwaway and quick for it, unlike my last couple of NaNoGenMo efforts, which have taken much more effort than the end results justified. (I found out about it on Mastodon but that's a story for another blog …

The first of three posts about the details of my NaNoGenMo 2016 project, Annales

1. Vocabularies | 2. TextGen | 3. Events

Annales was originally going to be a long-form version of @GLOSSATORY, a Twitter bot I made earlier this year. Glossatory is driven by a recurrent neural net trained on around …

This was the first time I submitted a NaNoGenMo entry which aimed at being readable, in contrast to my previous efforts, Everywhere Dense and Neuralgae, which were really abstract. Annales is a generated parody of a very ancient genre, the chronicle, which tells history as a sequence of reigns, deaths …

My entry for National Novel Generating Month 2016 is a procedurally-generated chronology of rulers, courtiers and tribes, using a nonsense vocabulary generated with the neural net which drives my twitter bot, @GLOSSATORY.

The full text is available on GitHub:

• ANNALES
• ANNALES.pdf

The source code is here

I'll be blogging …

I've updated the algorithm behind neuralgae. It's still the same basic principle: render a deepdraw image based on some random categories, feed the results back through the classifier, and then repeat with the new categories. But the draw part of the cycle now uses the weights from the classification stage …

@verbquests is a tribute to old-school text adventures, in which it was often difficult to find the correct verb to apply to a noun. It's powered by the Python Natural Language Toolkit, NLTK.

I've made my first Twitter bot. It posts a new image and accompanying text from my Neuralgae NaNoGenMo project, six times a day, modified slightly so that it fits within the character limit. One of my goals with Neuralgae was to generate something which was in some sense readable, and …

For NaNoGenMo (national novel generation month) 2015, I wrote some Python which generates a series of loosely-coupled deepdream images, and adds eight-line surrealist 'poetry' to them based on the image categories used to draw them.

The full text is here: Neuralgae.

The source code and a fairly detailed description of …