muxamilian

6 ms·

31.
by muxamilian 3y ago
> Unlike BBR, Brutal operates on a fixed rate model and does not reduce its speed in response to packet loss or RTT changes. [...] It's particularly effective at seizing bandwidth in congested, best-effort delivery networks, hence i
32.
by muxamilian 3y ago
It sounds crazy but fortunately fair queuing is becoming more and more prevalent, making sure everyone plays nice. Every iPhone has it: https://blog.cerowrt.org/post/state_of_fq_codel/
33.
Fair Queuing Aware Congestion Control(arxiv.org)
1 points by muxamilian 3y ago|1 comments
34.
by muxamilian 3y ago
Fair queuing is becoming increasingly prevalent on the internet. This method continuously measures for fair queuing on a connection and uses delay-minimizing congestion control in case fair queuing is detected. Otherwise legacy congestion c
35.
by muxamilian 3y ago
https://github.com/muxamilian/poor-mans-vr A poor man's VR: Using the front camera and tensorflow.js, the smartphone becomes a “window” into the real world. Video and image content appear as if they were seen thro
36.
Show HN: A poor man’s VR (front camera and tensorflow.js)(github.com)
1 points by muxamilian 3y ago|0 comments
37.
by muxamilian 3y ago
One nice side effect of fair queuing is that if endpoints knew that there's fair queuing on a path, they could use delay-minimizing congestion control since they don't have to be afraid of unfair competition. https://gi
38.
by muxamilian 3y ago
Some context: I know that my bottleneck link is my cable modem. Couldn't find documentation on whether it has fair queuing (like fq_codel). So I wrote this measurement tool. It's not about net neutrality if you understood it that
39.
Detect Fair Queuing on an internet connection(github.com)
2 points by muxamilian 3y ago|2 comments
40.
by muxamilian 3y ago
Italics are automatically generated using FontForge. I guess it uses some logic to just tilt them a little bit. It was not done by me.
41.
Show HN: Readability-optimized Comic Sans alternative using Machine Learning(muxamilian.github.io)
2 points by muxamilian 3y ago|3 comments
42.
by muxamilian 3y ago
Robo99 (Robo99.ttf) is a readability-optimized font whose glyphs were generated using Machine Learning. The goals were to create a font that is - as readable as possible - as "normal" as possible
43.
by muxamilian 3y ago
Since there are so few games available for macOS, I signed up for GeForce NOW, and I don't look back. I have a feeling that native gaming might be slowly replaced by cloud gaming.
44.
by muxamilian 3y ago
It has 8 MB of memory. It also supports live streaming the neural network to the chip, although that is slower than when it is cached in the memory.
45.
by muxamilian 3y ago
It’s not only about old CPUs. Intel Atom still doesn’t support AVX. Atoms are quite common on industrial controllers. For example, Tensorflow crashes with an obscure error on Atom CPUs. If you don’t support AVX at least output an error mess
46.
by muxamilian 3y ago
Yes, that's super annoying. However, it's easily fixable: One can rub the black stuff off the pin using a regular rubber and it usually works again
47.
by muxamilian 4y ago
Have been using Netatmo for 4 years and can't complain.
48.
by muxamilian 4y ago
One pin on the cable (male part) becomes oxidized (black) after time. One can rub the black stuff away using a regular rubber and it usually works again.
49.
by muxamilian 4y ago
With L4 you mean the transport layer? I’m a bit confused because in your examples you show layer 3 (IP). This eBPF-based package dropper using machine learning (decision tree) might be of interest to you: https://github.com/
50.
by muxamilian 4y ago
I have had a "Netatmo" device for some years and it seems to work well. Whenever I use my gas stove the CO2 reading increases.
51.
by muxamilian 4y ago
Decreasing network latency by tweaking routers/developing new software: https://www.bufferbloat.net
52.
by muxamilian 4y ago
Which is basically unusably buggy. For example, tf.sort only sorts up to 16 values and overwrites the rest with -0. Apparently not fixed for over one year: https://developer.apple.com/forums/thread/689299 Also, tf
53.
by muxamilian 4y ago
There's also self selection: You're only going to submit to a top conference if you think there is a slight chance of your work being accepted. Thus, one could argue that papers submitted to top conferences are already better than
54.
Show HN: Hear what you see: Neural net to convert video to audio(github.com)
1 points by muxamilian 5y ago|1 comments
55.
by muxamilian 5y ago
Interesting, I guess you could just take a fireplace video (one hour or more) and train duralava and see what happens. I guess you won’t get perfect results but could be fun! Edit: It could be easier than with a lava lamp because for the fi
56.
by muxamilian 5y ago
You show the neural net many video snippets of a real lava lamp. It tries to output videos that are supposed to imitate the behavior of a real lava lamp. So it actually outputs videos of lava lamps but to do that convincingly, it has to und
57.
by muxamilian 5y ago
Cloudflare does that: https://www.cloudflare.com/en-gb/learning/ssl/lava-lamp-encr... That’s an interesting aspect, which I haven’t thought of. I think real world lava lamps have very chaotic behavior. I thin
58.
Show HN: Lava lamp simulated by neural net in infinite loop(github.com)
88 points by muxamilian 5y ago|25 comments
59.
by muxamilian 6y ago
Yeah I know several people who tell me the same like you... Again not proper science but it seems that caffeine tolerance and metabolism is quite different from person to person.
60.
by muxamilian 6y ago
I drank coffee for several years (around 4 cups a day, not later than 4pm) and suffered from insomnia and didn’t know the origin. Since I stopped caffeine intake, my insomnia is basically gone and I feel a lot more functional because of bet

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