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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.

Xavier Bresson

17,442 subscribers

56,508 просмотров • 2 лет назад •via X (Twitter)

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Комментарии: 10

Фото профиля Lionel

Lionel2 лет назад

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

Фото профиля Xavier Bresson

Xavier Bresson2 лет назад

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

Фото профиля Plotly

Plotly2 лет назад

Amazing! Thanks for sharing @xbresson 🙌

Фото профиля Srivathsan Srinivas

Srivathsan Srinivas2 лет назад

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

Фото профиля Eamon McAndrew

Eamon McAndrew2 лет назад

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

Фото профиля Xavier Bresson

Xavier Bresson2 лет назад

will share code soon

Фото профиля KC Archtux | LEC CHAMPION 💙

KC Archtux | LEC CHAMPION 💙2 лет назад

looks so great thx

Фото профиля Jochem Gietema

Jochem Gietema2 лет назад

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

Фото профиля Nur

Nur2 лет назад

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

Фото профиля Stephen Harrington

Stephen Harrington2 лет назад

Combine Plotly with dash for more controls and components.

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