evolutionas (u/evolutionas)

evolutionas commented on Progress on No-GIL CPython lwn.net/Articles/947138/... · Posted by u/belter

sapiogram · 2 years ago

It's only 25% speedup in actual Python code, in domains like data science this won't matter much, because your cpu cycles are mostly spent inside numpy.

evolutionas · 2 years ago

It does matter if you run your ML models in production. After we upgraded to 3.12 the average response time ~4-6ms decreased to stable sub 2ms. Latency decrease for p95 and p99 were even more significant

evolutionas commented on Grover – A State-of-the-Art Defense Against Neural Fake News grover.allenai.org/... · Posted by u/Qworg

evolutionas · 6 years ago

If this is the state-of-art then I have some bad news. I recently finished writing my thesis and copy-pasted several paragraphs that did not included any mathematical formulas. Most of them were classified as written by a machine (8 out of 12). It might be due that I am not a native speaker. It seems that the model struggled the most where there are mathematical details discussed but on the topics where I wrote more freely as conclusions and some analysis, it classified as written by human.

evolutionas commented on Ask HN: How to deal with internet addiction? · Posted by u/danr4

evolutionas · 7 years ago

I had same problem few years ago but after installing StayFocusd[1] plugin in chrome I solved this issue. I set allowed time per day to 40 minutes to visit such websites as: reddit, fb, 9gag, youtube. If I need to watch video related to work/studies I use viewpure[2] that way I only watch only that particular video and don't lose my binge time. I also communicate with my friends a lot using fb so I just use messenger website instead of having fb opened directly.

[1] https://chrome.google.com/webstore/detail/stayfocusd/laankej... [2] http://viewpure.com/

evolutionas commented on Show HN: Self-Driving Pi Car github.com/felipessalvato... · Posted by u/felsal

evolutionas · 7 years ago

Cool project! Last year I built self driving robot for my bachelor's thesis. Instead of building end-to-end deep learning pipeline I used two neural nets: one trained with genetic algorithm to drive a robot based on ultrasonic sensors, another for object recognition and detection. Based on detected items (like road signs) robot took different actions.

Video: https://www.youtube.com/watch?v=cUXh7iP3hoQ Code: https://github.com/kazepilot

Posted by u/evolutionas 10 years ago

Adata.com stores passwords unecrypted twitter.com/evalkaz94/sta...

u/evolutionas

KarmaCake day28February 29, 2016View Original