Viewing profile — iverjo

Sadly, pip 20.3 seems to have broken docker builds in one of my projects. The symptom is that the pip install seems to hang indefinitely (>40000 seconds). I switched back to 20.2 f…

Thanks! No, it doesn't, but I'm happy to accept a pull request for such an option

Shameless plug: Here's my take on building images with images. It uses a genetic algorithm. https://github.com/iver56/emoji-art-generator

Further, you could shave off a couple of bytes by inserting before the canvas element, instead of having F() after the canvas element

I think you could shave off 8 characters by doing 0|Math.random()*3 instead of parseInt(Math.random()*3)

I also had that idea, and I made a crude proof of concept: https://github.com/iver56/cnn-clock

This idea originated in the jsgolf community and dwitter (a site where you post 140 character js snippets that generate interesting visuals). See https://www.dwitter.net/u/aemkei

I spend almost all time programming and thinking. Occasionally, I discuss some issues with colleagues. Other than that, I attend approximately one hour of meetings per week in tota…

A friend of mine once wrote a 3D effect in a 2D canvas in only 130 bytes of JavaScript code: https://www.dwitter.net/d/914

https://github.com/search?q=correcthorsebatterystaple&type=C...

Sony has been working on style (genre) transfer in music lately: https://youtu.be/I9M8l2guPSo?t=21m30s

Probably to avoid confusion, as git (and github) already had a concept of tags https://help.github.com/articles/working-with-tags/

Do you mean messages sent over infrasound (less than ~20 Hz)? That would typically not work, because most speakers cannot produce infrasound and most microphones don't pick up freq…

This is very cool! Kudos to the authors. I had the idea about this about a year ago (when style transfer for images was gaining traction), and wanted to do it in my master's thesis…

How does this relate to Progressive Neural Networks [0]? That technique is also about accumulating knowledge (while not forgetting existing knowledge) [0] https://arxiv.org/abs/160…

Jokingly, this was the first apple AI research I saw online, about a month ago: https://arxiv.org/abs/1610.08120v1

To the author: Have you tried to use a logarithmic frequency scale in the spectrogram? [1] That representation is closer to the way humans perceive sound, and gives you finer resol…

Nice approach, and well explained! By the way, Niland is a startup that also does music labeling with the help of deep learning. Demo available here: http://demo.niland.io/ For exa…

It's also inspiring to see how much you can do with only 140 characters of code (so it fits in a tweet). Here are some examples: https://www.dwitter.net/d/104 (tunnel) https://www.…

I recommend you to try the LAB color space and to use delta E 94 [1] for computing distances between colors in the color space [1] https://en.wikipedia.org/wiki/Color_difference#CI…

I'd say scikit-learn is a better way to get started with machine learning. Check this out, for example: https://www.youtube.com/watch?v=cKxRvEZd3Mw

I guess one could train a Convolutional Neural Network to convert the ASCII art to an actual image. Something like this, but for ASCII: http://sketchy.eye.gatech.edu/

Wow man, sigvehtml is actually used in production! Source: https://github.com/sigvef/arktis/blob/master/index.sigvehtml Rendered website: http://arkt.is/

We don't have a blog yet. We're using Azure for the hardware and mainly scikit-learn for the training (we train only on metadata at the moment). Will probably start using Tensorflo…