iverjo

7 ms·

1.
by iverjo 6y ago
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 for now.
2.
by iverjo 7y ago
Thanks! No, it doesn't, but I'm happy to accept a pull request for such an option
3.
by iverjo 7y ago
Shameless plug: Here's my take on building images with images. It uses a genetic algorithm. https://github.com/iver56/emoji-art-generator
4.
by iverjo 7y ago
Further, you could shave off a couple of bytes by inserting <body onload=F()> before the canvas element, instead of having <script>F()</script> after the canvas element
5.
by iverjo 7y ago
I think you could shave off 8 characters by doing 0|Math.random()*3 instead of parseInt(Math.random()*3)
6.
Show HN: Evolving emoji images(github.com)
2 points by iverjo 8y ago|0 comments
7.
by iverjo 9y ago
I also had that idea, and I made a crude proof of concept: https://github.com/iver56/cnn-clock
8.
by iverjo 9y ago
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
9.
by iverjo 9y ago
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 total. I like this hands-off kind of management.
10.
by iverjo 9y ago
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
11.
by iverjo 10y ago
https://github.com/search?q=correcthorsebatterystaple&type=C...
12.
by iverjo 10y ago
Sony has been working on style (genre) transfer in music lately: https://youtu.be/I9M8l2guPSo?t=21m30s
13.
by iverjo 10y ago
Probably to avoid confusion, as git (and github) already had a concept of tags https://help.github.com/articles/working-with-tags/
14.
by iverjo 10y ago
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 frequencies that low
15.
by iverjo 10y ago
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. I ended up doing something related, though: Evolving
16.
by iverjo 10y ago
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/1606.04671
17.
by iverjo 10y ago
Jokingly, this was the first apple AI research I saw online, about a month ago: https://arxiv.org/abs/1610.08120v1
18.
by iverjo 10y ago
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 resolution in the lower frequencies. [2] If you want to make your
19.
by iverjo 10y ago
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 example, it can output Drum Machine: 87%, Hous
20.
by iverjo 10y ago
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.dwitter.net/d&#x2
21.
by iverjo 10y ago
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#CIE94
22.
by iverjo 10y ago
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
23.
by iverjo 10y ago
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/
24.
by iverjo 10y ago
Wow man, sigvehtml is actually used in production! Source: https://github.com/sigvef/arktis/blob/master/index.sigvehtml Rendered website: http://arkt.is/
25.
by iverjo 10y ago
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 Tensorflow soon.
26.
by iverjo 10y ago
This is nice :) Kudos to the Youtube guys for releasing this. I'm a data scientist in a startup where one of the things I do is create multi-label models for classifying YouTube videos. My current model has 90 % precision and 69 % reca
27.
by iverjo 10y ago
Fractals can be drawn by surprisingly small amounts of code. For example, this mandelbrot fractal is implemented in 122 characters of JavaScript: https://www.dwitter.net/d/123 I wouldn't be surprised if the burnin
28.
by iverjo 10y ago
This brings Lime [1] to mind. "Explaining the predictions of any machine learning classifier" [1] https://github.com/marcotcr/lime
29.
by iverjo 10y ago
In one of my web app projects, I went the other way. I converted SVG icons to appropriately sized PNGs. That was after I found out that SVG rendering was slow on mobile, and was the culprit of janky scrolling.
30.
by iverjo 10y ago
Would love to see some more details on how you represent videos as feature vectors. Do you only use metadata provided by the uploaders (e.g. title and tags), or do you also analyze the raw video/audio somehow to augment the metadata?

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