TensorFlow 2 implementation of Wasserstein Conditional GAN with Gradient Penalty (WCGAN-GP) for synthetic data generation
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Updated
Jan 31, 2022 - Jupyter Notebook
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wcgan-gp
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Hybrid WCGAN-ACGAN framework for balanced network intrusion detection on NSL-KDD and UNSW-NB15 datasets using XGBoost, Decision Trees, CNN, and AutoGluon classifiers
python machine-learning deep-learning cnn cybersecurity gan xgboost ids decision-tree network-security intrusion-detection-system anomaly-detection synthetic-data nsl-kdd acgan unsw-nb15 wcgan-gp wcgan hybrid-ids
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Updated
Oct 24, 2025 - Jupyter Notebook
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