Woot! The 1st checkpoint of openai's model, tuned on the comics faces dataset is available for early access.

https://t.co/oGFRC2wOy3

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An example of the artwork that went in to this round of the dataset for Intelligent Emergence V2 on

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【Quantum Kernel Machine Learning】

The general task
of machine learning
is to find
and study patterns
in data.

For many datasets,
the datapoints
are better understood
in a higher dimensional feature space,
through the use
of a kernel function

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Taking hundreds of these images, I created a dataset to train a STYLEGAN2 model on in hopes to create "new" versions of my existing work.

Instead, I found that the stills and videos created were more beautiful than anything I'd done before.
4/

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Done! Pushed into a rgb branch, in case things go awry. If anyone has a good RGBA dataset to help me test this out I can then merge it into main (
) https://t.co/UJdIb8xHzu

Images can be generated as of now, like this one with a scratch RGBA network https://t.co/Sw6AREO1DU

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New point cloud dataset covering ~165 sq km of the Taranaki region in New Zealand now available on OpenTopography. Data were captured in 2021 for the Taranaki Regional Council by AAM Ltd: https://t.co/cVgnMfGacC

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I am taking help from fellow collectors for with the main thing I need (besides $ being HQ figure pics. I made this guide to show what I"m looking for, and for examples of stuff I've approved, the dataset is here: https://t.co/ma7UicWEF7

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【MNIST dataset】

The MNIST dataset is
an acronym
that stands
for the Modified National Institute
of Standards
and Technology dataset.

It is a dataset
of 60,000 small square
28×28 pixel grayscale images
of handwritten single digits
between 0 and 9.

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OpenCLIP released a new pre-trained ViT-B/16 model on the LAION-400M dataset! 🥳
Link: https://t.co/cMVef53Gl5

"A mecha robot in a favela by James Gurney"
Disco Diffusion 5.1 - OpenCLIP ViT-B/16 LAION-400M

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The additional effects sound really amazing!

Btw I hooked nev's colab with the newest Surrealist XL dataset and even without any further optimization it looks super cool. English prompt: "A futuristic basket of fruits" (Translated: футуристическая корзина с фруктами)

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Normal sampling reveals some dataset issues though, like cutting the tops off

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I trained the dataset to 10000kimgs on sg2 and to 5000kimgs sg3 for comparison.

SG2-ADA

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Morning update, probably won't get much better without cleaning the dataset and some tweaks

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I specified it to make it in the styles of Dale Keown and Jon Malin. Not sure if they were even part of the dataset the was trained on, but I kinda like the results, aside from the weird boobs.

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Just finished adding the Cartoonset dataset to 😄

Its an intermediate-level image dataset for generative modeling created by researchers at Google which features randomly generate avatar faces.

https://t.co/p3f5KZLN41

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makes sense, the more artistic license one takes, the harder it’s for the GAN to recognise features… guess it’s just a matter of training from much large datasets 🤷‍♂️

I continued adding paint to the original painting, filling in the forms and it just recognised it as a face!!!!

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ok here’s the first full samples from my 100 ksteps trained model. I think these might be slightly better than MUNIT but there’s also a ton of empty images in my samples (I think bc my dataset was causing bad cropping patches)

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How does Artificial Intelligence get trained?

Tune into the new podcast episode being released TOMORROW with to hear more!

Datagen is a synthetic data platform that lets you design a dataset and generate it with one click.

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yep!!! working to train my own image dataset... its proving challenging as i do not have a dedicated GPU -- but here were some results. You can kinda see the skulls trying to be formed

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I'm sure they will come out with a version that searches the internet soon enough, the field is accelerating exponentially - new tools becoming available every week. The datasets contain millions of images. Yep I have posted many Starry ai and Wombo results

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