Lately I’ve been spent some time using ControlNet to process some of my sketches, the results are quite interesting and show the potential of the technology even when the starting sketch is very low quality and noisy, due to being on squared paper.
Quality is subjective, true, but can we show that no matter the audience a fantasy book is always better than an horror book? If this would be the case it’d mean that even readers who prefer horror books should give higher ratings to an horror-fantasy book than an horror book of other sub-genres.
Read the rest of this entry »Do fantasy books on average get better ratings than sci-fi books? The answer seems to be yes, according to this little data science project I’ve build from Goodreads data.
Read the rest of this entry »This experiment combines hsl.js and tensorflow.js to perform real time object detection from a browser. When the mouse hovers the canvas the entire stream is shown, with the detected object framed in a black box, otherwise only the parts of the stream corresponding to detected objects are displayed.
In these days I’m spending some time reading about machine learning. To practice what I’ve read I’ve built a super simple, but working, glyph classifier, that recognizes the first five letters of the alphabet when drawn on an HTML canvas. You can try it here and check its source code on github.
Read the rest of this entry »Next step is determining the roots of the characteristic polynomial of a matrix. Before working on extracting the roots using Newton’s method I wanted to be able to visualize the function.
I’m currently reading Deep Learning, from Ian Goodfellow, Yoshua Bengio and Aaron Courville. While reading I got interested in calculating the determinant of a square matrix, I know there are many existing libraries to do that but the algorithm looked simply enough to give it a try.
This is, by far, my longest running side project. I’ve started it before moving to London, so around December 2014 and now I’m so proud to announce it is ready and released on GitHub.
Lately I found myself spending a considerable amount of time playing with Service Worker. This is an insanely interesting new HTML5 feature that basically allow us to define a JS file as a ‘proxy’ between the actual page and the server. The so defined Javascript file is then marked as Service Worker for the current domain (or a part of it) and this is where the magic begin
During this summer I got bored from my Spotify playlist and started hunting new songs, the task revealed harder than I thought and I end up coding a small website to achieve my goal.
Falling Stars helps you find one-hit-wonders and create a Spotify playlist out of those songs.
