lstm-vae-torch
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A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)
lstm-vae-torch
A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)
Environment Setup
pip install -r requirements.txt
LSTM+VAE Architecture
MovingMNIST Example
Reference
[1] Srivastava, Nitish, Elman Mansimov, and Ruslan Salakhudinov. "Unsupervised learning of video representations using lstms." International conference on machine learning. PMLR, 2015.
[2] Hsu, Wei-Ning, Yu Zhang, and James Glass. "Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation." 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE, 2017.
[5] https://joungheekim.github.io/2020/10/11/code-review/