neuralnet-browser
Artificial Neural Network from scratch using Javascript on the browser (by apssouza22)
gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch. (by csinva)
neuralnet-browser | gan-vae-pretrained-pytorch | |
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2 | 1 | |
11 | 162 | |
- | - | |
10.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
CSS | 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.
neuralnet-browser
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gan-vae-pretrained-pytorch
Posts with mentions or reviews of gan-vae-pretrained-pytorch.
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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.