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1. AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Public

   Forked from Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

   Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

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2. AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security Public

   Forked from Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security

   This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis"…

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3. Intrusion-Detection-System-Using-CNN-and-Transfer-Learning Intrusion-Detection-System-Using-CNN-and-Transfer-Learning Public

   Forked from Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

   Code for intrusion detection system (IDS) development using CNN models and transfer learning

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4. MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation Public

   Forked from Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation

   Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data S…

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5. Hyperparameter-Optimization-of-Machine-Learning-Algorithms Hyperparameter-Optimization-of-Machine-Learning-Algorithms Public

   Forked from LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

   Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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6. Intrusion-Detection-System-Using-Machine-Learning Intrusion-Detection-System-Using-Machine-Learning Public

   Forked from Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

   Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

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