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My new favorite easy-to-use interactive 3D visualization library is Plotly! Here is a visualization of the CIFAR dataset where images are first projected into 2,048-dimensional hidden vectors using InceptionV3 and then reduced to 3D using UMAP.

56,508 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Lionel
Lionelvor 2 Jahren

Looks way smoother than matplotlib 3d figures. How many observations are in this 3d scatter? Does it ever get slow?

Profilbild von Xavier Bresson
Xavier Bressonvor 2 Jahren

50,000 data points. never slow, very smooth on my laptop.

Profilbild von Plotly
Plotlyvor 2 Jahren

Amazing! Thanks for sharing @xbresson 🙌

Profilbild von Srivathsan Srinivas
Srivathsan Srinivasvor 2 Jahren

I am going to try it. Been wanting to plot graphs and interact with. Thanks @xbresson for this post!

Profilbild von Eamon McAndrew
Eamon McAndrewvor 2 Jahren

Do you have the code for this specific implementation. The 3D Umap cords to interactive plot like this ?

Profilbild von Xavier Bresson
Xavier Bressonvor 2 Jahren

will share code soon

Profilbild von KC Archtux | LEC CHAMPION 💙
KC Archtux | LEC CHAMPION 💙vor 2 Jahren

looks so great thx

Profilbild von Jochem Gietema
Jochem Gietemavor 2 Jahren

I can see if I can support 3D plots in (also based on Plotly), then you can directly see the actual images as well.

Profilbild von Nur
Nurvor 2 Jahren

For 3D visualization, should data have only 3 variables? Or how many variables can I use for this visualization?

Profilbild von Stephen Harrington
Stephen Harringtonvor 2 Jahren

Combine Plotly with dash for more controls and components.

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