Department of Health and Human Services personnel records used by DOGE to determine which employees would be fired as part of deep cuts to the agency were “hopelessly error-ridden” and ...

Industrial process data are usually affected by random and gross errors leading to deviation from the true value and violation of process constraints. Traditional data reconciliation methods rely on ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

Pytorch implementation for image compression and reconstruction via autoencoder. This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network ...