handwritten-digits-recognizer-webapp
This is my first experience with machine learning (by Theanayne)
gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch. (by csinva)

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handwritten-digits-recognizer-webapp | gan-vae-pretrained-pytorch | |
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1 | 1 | |
3 | 178 | |
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3.0 | 0.0 | |
over 3 years ago | over 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
handwritten-digits-recognizer-webapp
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Digits recognizer Webapp
Github repo : https://github.com/Theanayne/handwritten-digits-recognizer-webapp
gan-vae-pretrained-pytorch
Posts with mentions or reviews of gan-vae-pretrained-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects.
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DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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