Basic VAE Example

This is an implementation of the paper Auto-Encoding with Variational Bayes by D.P.Kingma and M.Welling. This code follows pytorch/examples/vae.

pip install -r requirements.txt
python main.py --workdir=/tmp/mnist --config=configs/default.py

Overriding Hyperparameter configurations

This VAE example allows specifying a hyperparameter configuration by the means of setting --config flag. Configuration flag is defined using config_flags. config_flags allows overriding configuration fields. This can be done as follows:

python main.py \
--workdir=/tmp/mnist --config=configs/default.py \
--config.learning_rate=0.01 --config.num_epochs=10

Examples

If you run the code by above command, you can get some generated images:

and reconstructions of test set digits:

The test set loss after 10 epochs should be around 104.