IEEE

Anomaly Detection in Containerized Systems Based on System Call Histograms and Autoencoder Neural Network

Abstract: When deploying complex, highly loaded end-to-end solutions, container systems are becoming an increasingly popular choice as an alternative to virtual operating systems. These technologies ...
IEEE

A Fast Autoencoder-based Recommender

Abstract: High-dimensional and sparse (HiDS) matrices are the basic inputs of recommender systems. Recently, autoencoder-based approaches to analyzing HiDS matrices from recommender systems are ...
GitHub

MAESTRO: Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data

MAESTRO_FLAIR-HUB_base — pre-trained on FLAIR-HUB MAESTRO_S2-NAIP-urban_base — pre-trained on S2-NAIP-urban Land cover segmentation in France, with 12 semantic classes. Note that the FLAIR#2 version ...
GitHub

Project 1: Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN

You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...