lightcone 0.1.0

A framework to explore the latent space of autoencoders implemented in torch

lightcone

A framework to explore the latent space of convolutional autoencoders implemented in pytorch.

Example

Compose your decoder and your encoder into the lightcone autoencoder:

from lightcone.models import AutoEncoder

model = AutoEncoder(encoder=your_encoder, decoder=your_decoder)

After model has been training, the latent space can be explored in a Jupyter-Notebook as follows

model.explore(data_loader=your_data_loader)

Jupyter Dash

Make sure to install and activate the Jupyter notebook extenstion

jupyter nbextension install --py jupyter_dash
jupyter nbextension enable --py jupyter_dash