cesnet-models and DeepTraffic
These are **competitors** — both provide pre-trained deep learning models for classifying network traffic, with DeepTraffic offering broader model variety (763 stars vs 22) but CESNET maintaining active distribution (330 monthly downloads vs 0), making them alternative choices depending on whether you prioritize model selection or maintained package availability.
About cesnet-models
CESNET/cesnet-models
CESNET Models: Neural networks for network traffic classification
About DeepTraffic
echowei/DeepTraffic
Deep Learning models for network traffic classification
Implements 1D convolutional neural networks for both malware traffic detection and end-to-end encrypted traffic classification without payload inspection. Combines spatial-temporal feature learning through hierarchical deep neural network architectures to enable intrusion detection across encrypted and unencrypted protocols. Research-backed approach with peer-reviewed implementations targeting network security and anomaly detection applications.
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