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

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

   Jupyter Notebook 624 111

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

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

   Jupyter Notebook 422 111

3. PWPAE-Concept-Drift-Detection-and-Adaptation PWPAE-Concept-Drift-Detection-and-Adaptation Public

   Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework …

   Jupyter Notebook 204 44

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

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

   Jupyter Notebook 142 36

5. Vibration-Based-Fault-Diagnosis-with-Low-Delay Vibration-Based-Fault-Diagnosis-with-Low-Delay Public

   Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and M…

   Jupyter Notebook 62 18

6. OASW-Concept-Drift-Detection-and-Adaptation OASW-Concept-Drift-Detection-and-Adaptation Public

   An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published …

   Jupyter Notebook 49 16