##Variational Auto-encoder
A basic implementation of variational autoencoders using my personal work-flow format that is highly modular and that is GPU-compatible. This repo drew its initial inspirations from Joost van Amersfoort's repo. You can run the MNIST experiment by doing:
./run_gpu
or
./run_cpu
Fun manifold-learning images:
TODO:
- Add regularization criterion for Gmm prior
Add Gaussian mixture with multivariate gaussian component KL divergence criterionAdd component weight capability for GmmAdd Logger with visualization functionality for visualizing training