climategan
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog. (by cc-ai)
gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch. (by csinva)
climategan | gan-vae-pretrained-pytorch | |
---|---|---|
1 | 1 | |
68 | 170 | |
- | - | |
10.0 | 0.0 | |
about 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
climategan
Posts with mentions or reviews of climategan.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
-
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.