One of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
Genbox 1 days ago [-]
If I would like to build a visualization like this, but for a data ingestion pipeline, any tips on where to start?
I have it visually in my head, but it feels overwhelming getting it into a website.
avabuildsdata 1 days ago [-]
fwiw I work on data ingestion pipelines and I've found that starting with just boxes-and-arrows in something like Excalidraw gets you 80% of the way to knowing what you actually want. The gap between "I can picture it" and "I can build it on a webpage" is mostly a d3 learning curve problem, not a design problem.
xyflow that the creator mentioned is probably the right call for pipeline DAGs though -- we use it internally for visualizing our scraping workflows and it was surprisingly painless to get running
Edit: found an updated link for seeing theory so I fixed it in the PR above. Feel free to cherry-pick if #24 is not relevant.
vivzkestrel 1 days ago [-]
- A previous comment by me about my list of absolutely gorgeous, interactive, animated, high dynamic learning resources classified as S TIER
- S-TIER blogs are those that are animated, visual, interactive and absolutely blow your mind off
- A-TIER are highly informative and you ll learn something
- opinion blogs at the absolute bottom of the tier list because everyone everywhere ll always have an opinion about everything and my life is too short to be reading all that
- these are the BEST of the BEST, you ll be blown away opening each page is how good they are. i am thinking of creating a bookmark manager that uses my criteria above and runs across every damn blog link ever posted on HN to categorize them as S-TIER, A-TIER, opinion and so on
1wheel 1 days ago [-]
https://visxai.io/ has a bunch more too — see the Hall of Fame section at the bottom for some of the highlights.
I also made a dozen of these a couple years ago, my two favorites:
This is from 2015. Both technically and conceptually it was ahead of its time.
mdp2021 1 days ago [-]
It's a pity there seems not to be new (or other) material from Tony Hschu and Stephanie Jyee.
(Or can anybody find something more?)
smaili__ 1 days ago [-]
So amazing, wish there were more articles like this. I love visual learning.
Also reminds me of another blog post: https://pomb.us/build-your-own-react/ , probably not directly the same, but similar-ish written blog posts, easy to stay on track and follow. It is so easy to learn with this kind of blog post.
AlexDunit 1 days ago [-]
Still one of the best explanations of decision trees I've seen. The
scroll-driven animation that builds the tree split by split, while
simultaneously showing where each data point lands, does in 30 seconds
what most textbook diagrams fail to do in three pages
davispeck 1 days ago [-]
The interactive explanations here are still some of the best examples of how visualization can make ML concepts intuitive.
I wish more technical articles took this approach instead of starting with equations.
jazzpush2 24 hours ago [-]
Amazing. A very cool niche area, dataviz x ai/ml. See also:
- mlu-explain.github.io
- visxai.io
- google PAIR's explorables
- GA Tech's poloclub.
anesxvito 22 hours ago [-]
Bookmarked.This is exactly the kind of visual reference that's missing from most LLM explainers.You either get a 10,000 word paper or a tweet-length oversimplification. Nothing in between.
3abiton 22 hours ago [-]
3blue1brown has amazing content. Actually he had his own visual language.
anesxvito 22 hours ago [-]
Haven't come across his stuff yet, will check it out. Got any specific videos you'd recommend starting with?
3abiton 14 hours ago [-]
His latest transformers videos are extremely well done. I would start there.
pajamasam 12 hours ago [-]
Oh, I'm sure you have, mr bot
shardullavekar 1 days ago [-]
has anyone come across an r2d3-style explainer for something as high-dimensional as a Transformer's attention mechanism?
The balls-from-the-sky sieve-style animation* showing classifications literally falling out of the decision tree is my favorite part. I haven't seen this anywhere else (yet); this visualization technique deserves more percolation (pun intended). (#1)
Not even to mention the fact that the animation is controlled by scrolling, which gives an intuitive control over play, pause, rewind, fast-forward, etc. Elegant and brilliant. (#2)
Stunningly good also in the sense that it advances the story so people don't just drool at the pretty animation and stop engaging. Thus putting the "dark arts" in the service of learning. (#3)
All three ideas warrant emulation in other contexts!
* Find it towards the bottom under the "Making predictions" heading.
nullora 1 days ago [-]
nice
sp4cec0wb0y 1 days ago [-]
Did they not have mobile responsive sites in 2015? Lol
1wheel 1 days ago [-]
2015 was about the last year you could get away with publishing an interactive graphic with a fixed width — this made it harder do really creative/original work.
planerde 1 days ago [-]
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longtermemory 1 days ago [-]
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stainlu 17 hours ago [-]
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useftmly 18 hours ago [-]
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Jhater 1 days ago [-]
Josh Starmers books are very visual as well, probably the best source I'd recommend to learn ML
I have it visually in my head, but it feels overwhelming getting it into a website.
xyflow that the creator mentioned is probably the right call for pipeline DAGs though -- we use it internally for visualizing our scraping workflows and it was surprisingly painless to get running
There is a collection of a few more here: https://p.migdal.pl/interactive-machine-learning-list/
Added an entry for my data visualisation tool here: https://github.com/stared/interactive-machine-learning-list/....
Edit: found an updated link for seeing theory so I fixed it in the PR above. Feel free to cherry-pick if #24 is not relevant.
- S-TIER blogs are those that are animated, visual, interactive and absolutely blow your mind off
- A-TIER are highly informative and you ll learn something
- opinion blogs at the absolute bottom of the tier list because everyone everywhere ll always have an opinion about everything and my life is too short to be reading all that
- these are the S-TIER ones on my system
- https://growingswe.com/blog
- https://ciechanow.ski/archives/
- https://mlu-explain.github.io/
- https://seeing-theory.brown.edu/index.html#firstPage
- https://svg-tutorial.com/
- https://www.lumafield.com/scan-of-the-month/health-wearables
- these are the BEST of the BEST, you ll be blown away opening each page is how good they are. i am thinking of creating a bookmark manager that uses my criteria above and runs across every damn blog link ever posted on HN to categorize them as S-TIER, A-TIER, opinion and so on
I also made a dozen of these a couple years ago, my two favorites:
- https://pair.withgoogle.com/explorables/fill-in-the-blank/
- https://pair.withgoogle.com/explorables/grokking/
(Or can anybody find something more?)
I wish more technical articles took this approach instead of starting with equations.
- mlu-explain.github.io
- visxai.io
- google PAIR's explorables
- GA Tech's poloclub.
https://poloclub.github.io/transformer-explainer/
https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju
Not even to mention the fact that the animation is controlled by scrolling, which gives an intuitive control over play, pause, rewind, fast-forward, etc. Elegant and brilliant. (#2)
Stunningly good also in the sense that it advances the story so people don't just drool at the pretty animation and stop engaging. Thus putting the "dark arts" in the service of learning. (#3)
All three ideas warrant emulation in other contexts!
* Find it towards the bottom under the "Making predictions" heading.
https://www.youtube.com/c/joshstarmer https://statquest.org/