CyberForge AI Models

Production-ready machine learning models for cybersecurity threat detection.

Models Included

Model Task Accuracy F1 Score Inference Time
phishing_detection random_forest 0.9890 0.9890 0.01ms
malware_detection gradient_boosting 0.9985 0.9985 0.00ms
anomaly_detection random_forest 0.9990 0.9990 0.01ms
web_attack_detection random_forest 1.0000 1.0000 0.03ms

Usage

Python

from inference import CyberForgeInference

inference = CyberForgeInference('./models')
result = inference.predict('phishing_detection', features)

API

import requests

response = requests.post(
    'https://huggingface.co/spaces/Che237/cyberforge/predict',
    json={'model_name': 'phishing_detection', 'features': features}
)

Model Details

  • Framework: scikit-learn
  • Python Version: 3.11+
  • License: MIT

Citation

If you use these models, please cite:

@software{cyberforge2024,
  title = {CyberForge AI Security Models},
  year = {2024},
  url = {https://huggingface.co/Che237/cyberforge-models}
}
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