zimingttkx/Network-Security-Based-On-ML
PythonMIT
Health
基于机器学习的网络安全检测系统 | 集成Kitsune/LUCID算法 | 支持ML/DL/RL模型 | 99.58%攻击检测准确率 | 19913 QPS | Docker/K8s部署
Health Breakdown
Activity4
Community25
Maintenance14
Popularity25
#beginner-friendly#cybersecurity#fastapi#machine-learning#ml-project#python#scikit-learn#threat-detection#web-application#xgboost
Should you contribute to zimingttkx/Network-Security-Based-On-ML?
zimingttkx/Network-Security-Based-On-ML has a FoundDev health score of 68/100, which means activity is steady but not booming. Worth contributing to if the project is in your wheelhouse, but expect slower review cycles than a top-tier repo.
Last push was 32 days ago — that's a slower cadence. Check the issue tracker for the most recent maintainer comment before investing time. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
Community
PythonMIT
32d ago
