kcimc

7 ms·

31.
ML cover song alignment for “Bad Guy” by Billie Eilish(iyoiyo.medium.com)
1 points by kcimc 6y ago|1 comments
32.
by kcimc 6y ago
This project is based on the Labeled Faces in the Wild Attributes+ dataset released with the 2015 paper Deep Learning Face Attributes in the Wild by Ziwei Liu et al. covering 73 face attributes. "Big Lips", "Bushy Eyebrows&qu
33.
Facework: Face analysis meets the gig economy(facework.app)
2 points by kcimc 6y ago|1 comments
34.
by kcimc 6y ago
wow, i did this in 2015 https://twitter.com/kcimc/status/619889224909750272 https://gist.github.com/kylemcdonald/da198988061dce54bae6a67... it's great to see all the examples in this thr
35.
by kcimc 10y ago
Very well done, but not the first: 2 years ago Jetpac released DeepBeliefSDK ( https://github.com/jetpacapp/DeepBeliefSDK ). They were acquired by Google and development stopped. But the demo has been ported ( http:&#x2F
36.
by kcimc 10y ago
everything david (workergnome) said, and also: in the tile you point to, "swimming pool" is most interesting/recognizable feature, but most of the image is just "trees and asphalt". if you pick another image where t
37.
by kcimc 10y ago
I helped out with this project, happy to answer any questions. I was involved from the beginning, but my biggest contribution was on the deep learning side that does the tile-matching. I helped with the initial prototype using DIGITS, Caffe
38.
by kcimc 11y ago
as karpathy said, i really don't recommend it and i'm surprised it works at all. details here: https://gist.github.com/kylemcdonald/b02edbc33942a85856c8
39.
by kcimc 11y ago
The image is a composite of a photo by Tadao Cern. It was a joke, meant to look "too good to be true", but accepted without question: https://medium.com/@kcimc/finding-gogh-76ff90cbd408
40.
Pplkpr uses sensors to automanage your social life(pplkpr.com)
4 points by kcimc 12y ago|0 comments
41.
by kcimc 12y ago
In the artwork "The Secret Lives of Numbers"[1] by Golan Levin, et al. from 2002, scraping AltaVista with Perl for the numbers 0 to 1,000,000 returned results for every number (otherwise I'm sure this would be mentioned in th
42.
by kcimc 12y ago
it was built with storm for processing all the listening data in realtime, node.js for relaying udp messages from storm to websockets, and d3.js for rendering the map along with the spotify web api for grabbing all the artist data, cover im
43.
by kcimc 12y ago
usability isn't my strength, so this is all very helpful feedback. thanks!
44.
by kcimc 12y ago
creator here. sorry for the annoyance! original idea was to slowly fade the first song in, but i couldn't get the html5 audio api wrangled quickly enough for launch. the insanity of consecutive 3 second audio clips is definitely a part
45.
by kcimc 12y ago
thanks! all credit goes to the developers of d3.js though, i wouldn't have considered these projections if not for the example here http://bl.ocks.org/mbostock/3763057
46.
by kcimc 12y ago
the clips are spotify's preview mp3s, which are selected at random from the song. i know at least one very clever person at spotify who is trying to extract the 'hook' or 'recognisable part', and it worked really we