Hooddi / VaDE

A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)

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VaDE

A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)

Usage

First, execute pretrain.py to get parameters for initializing the model.

$ python pretrain.py --epochs 20 --gpu 0 --out parameters.pth

Then, start training like

$ python main.py --epochs 300 --gpu 0 --pretrain parameters.pth

The results (accuracy and visualization of the latent space) can be confirmed by Tensorboard.

$ tensorboard --logdir runs

Latent Space

About

A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)

License:MIT License


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Language:Python 100.0%