stfwn

18 ms·

1.
by stfwn 3y ago
It seems like this page is updated with the followup questions asked by every visitor. That's an easy way to leak your search history and it's (amusingly) happening live as I'm typing this.
2.
by stfwn 4y ago
For me, the gradual build up of (1) maximum likelihood estimation to (2) maximum a posteriori estimation to (3) full posterior approximation (or posterior sampling) was helpful to understand where Bayesian methods are in machine learning. H
3.
by stfwn 4y ago
Slight tangent: does anyone know of a good source for more useful blog posts on ML in the wild? Many that I come across are a funnel into some product, are very short, too theoretical, for beginners, or all of the above. This post strikes a
4.
by stfwn 5y ago
That's such a cool nugget of information. The Versailles one is apparently A = 435 Hz, the 'diapason normal'. Nowadays we mostly use concert pitch at A = 440 Hz. The 99% Invisible podcast has a mini-story on it: https:/
5.
by stfwn 5y ago
Conventional methods of rendering 3D objects and spaces rely on specifying geometry and material properties in some format. You then simulate a viewpoint using that info and physics simulations. A NeRF takes over both the role of the file f
6.
Federated Learning(stfwn.com)
18 points by stfwn 5y ago|3 comments
7.
by stfwn 6y ago
How do you deal with adversarial/byzantine updates that attempt to degrade performance or even install a backdoor? Do you use plain averaging, or some other aggregation algorithm like Multi-Krum?
8.
by stfwn 6y ago
Thanks!
9.
by stfwn 6y ago
The last time a post like this appeared on HN prompted me to write a gist with a simple neural network in Python (with Numpy). It downloads the MNIST dataset for you, trains a fully connected network on it, prints the accuracy on the valida
10.
by stfwn 6y ago
Yes, I'm also using Hetzner and have not run into any limits in what plugins you can install and use yet. They used to call 'storage share' just 'Nextcloud', but moved it to the new name for licensing reasons. I don
11.
by stfwn 6y ago
In macOS it is not entirely clear to me what category of things the cmd key is for. On one hand it's used for keyboard shortcuts related to window management and the system, but on the other hand it's also used to issue commands t
12.
by stfwn 6y ago
These are exactly the type of silly applications that are needed on macOS because the OS too locked down, or at least not made for people who like to do this type of stuff. On Linux, almost all native applications keep their data in regular
13.
by stfwn 6y ago
I used to be all in on Apple. On macOS I had a little program called Magnet to snap windows to sides and corners, and on my iPad (with external keyboard) I SSH’d into a VPS to write and run code there. I used Alfred and had all kinds of wor
14.
by stfwn 6y ago
I studied piano full-time for a short while. My favorite thing about it was how working on my technique or a particularly tricky rhythmic pattern tickled my brain. I often found that I went through a few phases: “ahrg, this is impossible!”,
15.
by stfwn 6y ago
Fiducial markers are commonly used in photogrammetry to either speed up the process, make the resulting model more accurate or a balance of both depending on what the user is looking for. Good fiducials make for distinct features that can e
16.
by stfwn 6y ago
I once had to count the number of set bits (the Hamming weight) for an assignment. It had to be done in under 40 bitwise ops, without loops and with constants of up to 8 bits. The naive approach took way too many ops! I was stumped until I
17.
by stfwn 6y ago
In June I worked on a comparison of the original NeRF [1] to a state of the art proprietary photogrammetry method. The photogrammetry method could process ~80GB worth of 24MP photos into a micrometer-level accurate 3D model in about 8 hours
18.
by stfwn 6y ago
> A key feature of neural networks is that the outputs are a nonlinear function of the inputs. However, steering a 2D car is simple enough that a linear function is more than sufficient, and neural networks are unnecessary. This depends
19.
by stfwn 6y ago
I spoke to someone who started working in sheet piling when he was 16. This is in the Netherlands, so plenty of that to go around. He stayed with his parents and saved until he could buy a house out of pocket at 25. He was 30, said he was s
20.
by stfwn 6y ago
> Even if Apple agreed to the demands and made the options available to all developers, Epic would have an advantage. I don't know that that's the case. Steam, the Humble Store, GOG and Microsoft (just to name a few) would all
21.
by stfwn 6y ago
Cool! I really like the (upcoming) idea of watching your own online profiles on HN and such for upvotes and saving those pages. It’s essentially what I already use those upvotes for in my head, but not what they are in reality.
22.
by stfwn 6y ago
Fwiw, you can run Pi-hole locally just fine. But using the hosts file like Maza does may be a little bit faster than running a DNS-server.
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by stfwn 6y ago
Pruning in general is about trimming larger structures down. This is nice for using a network, but indeed doesn’t help with training it. Lottery tickets on the other hand are configurations of weights that rival the full network in performa
24.
by stfwn 6y ago
You might be interested in pruning neural networks. Some networks can be reduced in size by over 90% without performance loss. The lottery ticket hypothesis paper is good place to start, if you don’t already know about it of course. https:
25.
by stfwn 7y ago
This is awesome! I typed in 'jazz' and got a page on Charlie Parker's saxophone, a King Super 20. It has 8 very high quality and nicely composed photos that you can download in TIFF format, some up to ~300MB in size. Each pho
26.
by stfwn 7y ago
> Why not demo it in Python? Not OP, but here: https://gist.github.com/stfwn/62e51d86ca4ff155becd3c6a14adf6... You should be able to wget the file and run it (Python 3) from start to finish without any set-up and ge
27.
by stfwn 7y ago
For Bandcamp it’s at least 85% based on the fact that their cut is 15 to 10%. Less than half looks pretty bad in comparison I would say. The _only thing_ Spotify is doing here is distribution. That is some brutal split if you ask me. The on
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by stfwn 7y ago
For me, the fact that artists get paid so little of what I would pay Spotify ruins it. There are various numbers floating around the internet and they are are all in the range of fractions of a cent per play, which is a weird metric to begi
29.
by stfwn 7y ago
There is a Reply All episode about something exactly like what you describe [1]. It's been a while since I've listened to it, but it's something about how making sounds like these is a whole business with resellers upon resel
30.
by stfwn 7y ago
I may be wrong, but these add-ons seem shady to me. The website pointed to as the homepage is an add-ridden site that is supposedly a community for open-source development, but all the links to 'fork me on GitHub' don't go an

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