PrateekMunjal/Variational-Approaches-for-Auto-Encoding-Generative-Adversarial-Networks

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Python
Created over 5 years ago
Updated over 5 years ago

PrateekMunjal/Variational-Approaches-for-Auto-Encoding-Generative-Adversarial-Networks

PrateekMunjal

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

An implementation to reproduce the results presented in Alpha GAN paper.

TorchAL

Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

Jupyter Notebook

-Auto-Encoding-Variational-Bayes-aka-VAE

A tensorflow implementation of Variational autoencoder. We present the results on real world datasets, namely; celebA and Mnist dataset.

Autoencoding-beyond-pixels-using-a-learned-similarity-metric

A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.

Face-detection-webcam-opencv

Person Detection along with face and gender using webcam feed. Simultaneously, show the locations of people as dots in a room.

SWA_example

Wasserstein-Autoencoders

An implementation of Wasserstein Autoencoder paper.