Deep Learning and Anomaly Detection in Mars Rover Data(NPO-51336-1)

The included software is for the data processing and machine learning analysis used inthe project Deep Learning and Anomaly Detection in Mars Rover Data Transmission. The filescontained the signal_processing directory contain Python scripts to organize and clean a datasetbefore passing it into the various machine learning and deep learning models. Themachine_learning directory contains an implementation of an Adversarial Autoencoder, a deeplearning model used in reconstructing data, and a file for a One-Class SVM, which is used indetecting anomalies in the dataset. It also contains a deep neural network implementation, whichis used in classifying the success of different Mars downlink successes.