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Deep learning anomaly detection on spatio-temporal AIS data by combining a multi-headed self-attention structure with bidirectional long short term memory(BLSTM) into a Variational Autoencoder (VAE).

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
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.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
my_ais2.py		my_ais2.py
my_anomaly_detection.py		my_anomaly_detection.py
my_cleaned_ais.py		my_cleaned_ais.py
my_tsdl.py		my_tsdl.py
use_network.py		use_network.py

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Deep_learning_anomaly_detection

Deep learning anomaly detection.

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Deep learning anomaly detection on spatio-temporal AIS data by combining a multi-headed self-attention structure with bidirectional long short term memory(BLSTM) into a Variational Autoencoder (VAE).

deep-learning vae attention-mechanism anomaly-detection blstm self-attention blstm-neural-networks

GPL-3.0 license

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