Personal implementation of convolutional variational auto-encodeur in many frameworks.
To install the requirements, run in a new virtual environment:
pip install -r <framework>/requirements.txt
To run a training (example in tensorflow):
python3 <framework>/train.py
The configurations can be changed in the script.
Example of images generated by a VAE on hand-written digits MNIST (with latent dimension of 2) from a grid on latent space:
