visTorch is a simple tool for interactive visualization of latent space of an Autoencoder. It's built using Plotly's Dash framework and has been tested with Pytorch.
pip install -r requirements.txt
python setup.py installfrom visTorch import visboard
...
# your code
...
vis_board = visboard()
vis_board.add_ae(model,
dataset,
latent_options={'n': model.latent_size, 'min': -1, 'max': 1, 'step': 0.05},
model_paths={'Best': ae_path})
vis_board.run_server('127.0.0.1','8080')Refer to .\examples for more details
