lovely-tensors
gan-vae-pretrained-pytorch
lovely-tensors | gan-vae-pretrained-pytorch | |
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3 | 1 | |
1,048 | 162 | |
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2.3 | 0.0 | |
about 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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lovely-tensors
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What is the most performant way to visualize pytorch tensor that stores an image in an interactive manner?
Maybe this: https://github.com/xl0/lovely-tensors
- Lovely Tensors – a humancentric tensor representation
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[P] Lovely Tensors library
Hi! I made the ❤️ Lovely Tensors: https://github.com/xl0/lovely-tensors library.
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.
What are some alternatives?
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