GitHub

An advanced generalized autoencoder for dimensionality reduction and feature extraction

AutoencoderZ is an advanced Autoencoder model designed for dimensionality reduction of various data types, such as seismometer and strainmeter data. It features an encoder-decoder architecture that ...
IEEE

FeatDAE: Introducing Features With Denoising Autoencoder for Anomaly Detection

Abstract: Anomaly detection (AD) is a critical task in manufacturing inspection. Reconstructive AD methods restore the normal appearance of an object, ideally modifying only the anomalous regions.
GitHub

Anomaly Detection in Stock Prices using LSTM Autoencoder

This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...
IEEE

RAT-CC: A Recurrent Autoencoder for Time-Series Compression and Classification

Abstract: The growth of interconnected devices has led to an enormous volume of temporal data that requires specialized compression models for efficient storage. Besides this, most applications need ...