calls variational-autoencoder “Use it for a clean single VAE/IAF implementation in PyTorch/TensorFlow instead of the many-model seed.”
A Collection of Variational Autoencoders (VAE) in PyTorch.
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These projects were analysed and named variational-autoencoder among their alternatives. The relationship is not symmetric — how variational-autoencoder rates them is a separate judgement, made when variational-autoencoder is analysed in its own right.
calls variational-autoencoder “Use it for a clean single VAE/IAF implementation in PyTorch/TensorFlow instead of the many-model seed.”
A Collection of Variational Autoencoders (VAE) in PyTorch.
calls variational-autoencoder “use when you need a standalone VAE in TensorFlow/PyTorch with inverse autoregressive flow.”
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.