CESNET/cesnet-models
CESNET Models: Neural networks for network traffic classification
This project offers pre-trained neural networks to automatically identify and categorize different types of network traffic, even when encrypted. It takes raw network data or traffic flows as input and outputs classifications like 'video streaming,' 'gaming,' or 'file transfer.' Network administrators, security analysts, and researchers focused on network behavior would find this useful for monitoring and security.
Used by 1 other package. Available on PyPI.
Use this if you need to understand the nature of network traffic on your systems, especially for encrypted data, without manual inspection.
Not ideal if you are looking for a ready-to-use, standalone network monitoring application rather than a component for classification.
Stars
22
Forks
4
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
Dependencies
3
Reverse dependents
1
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