GitHub

01_Variational_AutoEncoder.ipynb

"train_dataset = MNIST(dataset_path, transform=mnist_transform, train=True, download=True)\n", "test_dataset = MNIST(dataset_path, transform=mnist_transform, train ...
GitHub

ML Autoencoder MNIST Digits

This project features an autoencoder model trained to encode, compress, and decode hand-written digits. There are two files, model_functions.py which contains the functions and structure of the model.
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
IEEE

A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection

Abstract: Robust PCA is a popular anomaly detection technique and has been widely used in many applications. Although Robust PCA is promising, it is usually designed in a two-order matrix form, which ...