eecheonwu / autoencoders

implementations of various types of auto-encoders in tensorflow(in progress)

Types of Autoencoders

• [AE]: Fully-connected autoencoder
• [SparseAE]: Sparse autoencoder
• [DeepAE]: Deep (fully-connected) autoencoder
• [ConvAE]: Convolutional autoencoder
• [UpconvAE]: Upconvolutional autoencoder - also known by several other names
• [DenoisingAE]: Denoising (convolutional) autoencoder
• [CAE]: Contractive autoencoder
• [Seq2SeqAE]: Sequence-to-sequence autoencoder
• [VAE]: Variational autoencoder
• [CatVAE]: Categorical variational autoencoder
• [AAE]: Adversarial autoencoder
• [WTA-AE]: Winner-take-all autoencoder

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Variants of Variational Autoencoder

Name	Paper Link	Loss Function
VAE	Arxiv
CVAE	Arxiv
DVAE	Arxiv	(to be added)
AAE	Arxiv	(to be added)

Variants of VAE structure

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References

• ref-papers
• ref-implementations

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Maintainer

Gopala KR / @gopala-kr

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