VAE

Repository to collect work related to AutoEncoders(AE) and Variational Autoencoders (VAEs) applications in HEP to train models for anomaly detection

Theory about VAEs:

An introduction to Variational Autoencoders

Auto-Encoding Variational Bayes

Useful blogs: VAE1 VAE2 VAE3

Connect to ACARUS server using ondeman service using credential for ccd account

ACARUS

Examples for AEs and VAEs

Some examples for training of AutoEncoder and Variational AutoEncoder are collected in the examples folder, be sure to run those using the pytorch environment .