A modular application for performing anomaly detection in networks

Dec 10, 2021 1 min read

Deep-Learning-Models-for-Network-Annomaly-Detection

The modular app consists for mainly three annomaly detection algorithms. The system supports models both in Tensorflow and Pytorch.

Annomaly DAE
DeepSphere
VAE

The key aspect is extensibilty and the ability to add more models as required. The repository structure is as follows.

GitHub

View Github

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

A modular application for performing anomaly detection in networks

Deep-Learning-Models-for-Network-Annomaly-Detection

GitHub

John

It calculates the Nim sum of a nim game

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Deep-Learning-Models-for-Network-Annomaly-Detection

GitHub

It calculates the Nim sum of a nim game

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