A modular application for performing anomaly detection in networks

Last update: Dec 09, 2021

Overview

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.

Owner

Shivam Patel

Visiting Student at Cambridge University. Active in Applied AI , Mathematical Modeling and Optimization and also a full stack developer.

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A modular application for performing anomaly detection in networks

Related tags

Overview

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

Owner

Shivam Patel

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