174 Open source projects that are alternatives of or similar to Variational-Autoencoder-pytorch

Invariant representation learning from imaging and spectral data

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A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

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Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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No description or website provided.

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

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Pytorch implementation of Hyperspherical Variational Auto-Encoders

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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Tensorflow implementation of conditional variational auto-encoder for MNIST

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[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Playing with MNIST. Machine Learning. Generative Models.

Optimus: the first large-scale pre-trained VAE language model

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Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

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If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

PyTorch implementation of normalizing flow models

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Variational Auto-Encoders in a Sequential Setting.

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No description or website provided.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

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