trekhleb

9 ms·

61.
The Bible Project(bibleproject.com)
5 points by trekhleb 5y ago|1 comments
62.
by trekhleb 5y ago
I think if we would need to select the best advertisement method/channel it would be people who are in love with the product :)
63.
Free resources to promote your next startup(github.com)
147 points by trekhleb 5y ago|29 comments
64.
by trekhleb 5y ago
Yes, training may happen pretty fast in 2D, but then applied to the 3D to final visualizations. But this is just an assumption. I haven’t tried this approach yet.
65.
by trekhleb 5y ago
Currently all calculations are happening in user’s browsers - no sending to the backend.
66.
by trekhleb 5y ago
Yeah, this one is fun :D Really nice catch!
67.
by trekhleb 5y ago
Yeah, the GA is not the best option for self-driving tasks, agree. The reason why I chose GA is because I wanted to play around with this algorithm at the first place. And only after that I’ve tried to come up with some artificial problem I
68.
by trekhleb 5y ago
I haven’t thought about the native version, it was fun trying to implement it for browser. To resolve the performance issue I would try next to switch to the 2D simulation engine, since we don’t use the height during the parking. Getting ri
69.
by trekhleb 5y ago
Yeah, the linear model is too simple to generalise :)
70.
by trekhleb 5y ago
That’s a good idea. However, there is an issue right now ( https://github.com/trekhleb/self-parking-car-evolution/issue... ), that the cars are not “punished” for hitting another cars (they are allowed to create the
71.
by trekhleb 5y ago
That was my first approach actually. The mental model is like this: if sensor says 4 - it means the obstacle is 4 meters away. If obstacle is far away, then sensor may say… hm… 5 meters? 10 meters? Infinity meters? So I went with something
72.
by trekhleb 5y ago
Yes, you may press the "Restore Evolution" button (at the bottom of the screen) and then upload the pre-saved training checkpoints from here https://github.com/trekhleb/self-parking-car-evolution/tree&#x2
73.
by trekhleb 5y ago
Yes, currently the simulation performance is one of the biggest issues ( https://github.com/trekhleb/self-parking-car-evolution/issue... ). You may try to check the “Performance boost” checkbox that simplifies the g
74.
Self-Parking Car In 500 Lines of Code(trekhleb.dev)
4 points by trekhleb 5y ago|2 comments
75.
BaseWeb: React UI Framework(baseweb.design)
1 points by trekhleb 5y ago|0 comments
76.
Train Wheels Are Cones(awesci.com)
401 points by trekhleb 5y ago|174 comments
77.
Interactive Machine Learning Experiments(trekhleb.dev)
5 points by trekhleb 5y ago|0 comments
78.
Attempt to make printed links clickable(trekhleb.dev)
35 points by trekhleb 5y ago|7 comments
79.
by trekhleb 5y ago
I've used Tesseract.js to recognise the https:// ** links from the camera input and to make them clickable. First issue I've encountered was the text recognition performance. Depending on the camera input (if the image
80.
Binary representation of floating-point numbers(github.com)
49 points by trekhleb 5y ago|18 comments
81.
Binary representation of the floating-point numbers(trekhleb.dev)
2 points by trekhleb 5y ago|0 comments
82.
by trekhleb 5y ago
Cool! I’m glad that the link was useful! Another alternative that I’ve been using and that I liked is https://sketch.io/sketchpad/ . Also pretty good tool (online and free)
83.
by trekhleb 5y ago
I made them in draw.io
84.
Dynamic Programming vs. Divide-and-Conquer (2018)(trekhleb.dev)
214 points by trekhleb 5y ago|115 comments
85.
Show HN: JavaScript Image Carver(trekhleb.dev)
4 points by trekhleb 5y ago|0 comments
86.
Gyro-web: Accessing the device orientation in JavaScript(trekhleb.dev)
3 points by trekhleb 6y ago|0 comments
87.
Dynamic Programming vs. Divide-and-Conquer (2018)(trekhleb.dev)
3 points by trekhleb 6y ago|0 comments
88.
Technical Interview Preparation Checklist (2019)(trekhleb.dev)
3 points by trekhleb 6y ago|0 comments
89.
S.O.L.I.D. principles around you (2017)(trekhleb.dev)
3 points by trekhleb 6y ago|0 comments
90.
Printed Links Detection Using TensorFlow 2 Object Detection API(github.com)
2 points by trekhleb 6y ago|0 comments

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