Tensorflow2.x implementation of Wasserstein GAN
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Updated
Nov 2, 2020 - Jupyter Notebook
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cats-dataset
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PyTorch-based pipeline that trains a convolutional variational autoencoder on cat images, optionally tunes hyperparameters with Ray Tune, and samples new images by fitting a Gaussian Mixture Model in the latent space.
pytorch vae image-generation variational-autoencoder vae-implementation vae-pytorch vae-cnn cats-dataset
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Updated
Oct 24, 2025 - Python
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