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**Describe the bug**
I am building a Docker image with ANTsPy and ANTsPyNet. ANTsPy builds just fine, but ANTsPyNet throws an error during the build process (see below).
During building ANTsPyNet,…
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I am a tensorflow2.0 learner who is trying to reproduce the code of Wasserstein AutoEncoder or Adversarial AutoEncoder and do something interesting based on that on my own. My code below is based on[ …
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For Probabilistic models, the [Quick Start Guide](https://alan-turing-institute.github.io/MLJ.jl/dev/quick_start_guide_to_adding_models/#Predict/Transform-1) says the returned value of `predict` shoul…
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Wasserstein loss is being used more in Gans and autoencoders, it seems like it would be a good thing to have.
From Keras, you can implement the Wasserstein Loss as `mean(labels * activations)`. Th…
rnett updated
5 years ago
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Thank you for creating a PyTorch version of the novel SWAE project.
Encountered an exception during runtime in line 48 of `_sliced_wasserstein_distance`
`encoded_projections = encoded_samples.m…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…