A collection of simple "hello world" level AutoEncoders.
Contains a CNN AutoEncoder built for denoising grayscale images. Dataset used - Fashion MNIST
An LSTM AutoEncoder built to detect anomalies in time-series data. Dataset used - S&P 200 Index (1986-2018)