/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Primary LanguagePythonApache License 2.0Apache-2.0

11747 Assignment 3

This repo mainly contains implementation and instance attribution analysis of VAE models on the CelebA dataset. The implementation of VAE is largely forked from here whereas the analysis is by us. To generate pickle files that contain influence scores, run script.sh which would further calls run_influence.py. Code for visualization can be found in analysis.ipynb.

z-interpolation on SentenceVAE

See Sentence-VAE/

Concept Saliency Maps

The code to reproduce concept saliency maps for the CelebA dataset can be found here.