Updated 10 months ago
py-smote-variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Updated 10 months ago
https://github.com/georgedouzas/imbalanced-learn-extra
Implementation of novel oversampling algorithms.
Updated 10 months ago
swansf-datapreprocessing-sampling-notebooks
These notebooks provide a comprehensive workflow, from start to finish, for processing and analyzing the SWAN-SF dataset. They include detailed steps for reading the dataset files, performing full preprocessing, and executing classification.
Updated 10 months ago
https://github.com/amr-yasser226/machine-learning-for-network-intrusion-detection
A complete pipeline for network intrusion detection comparing label encoding and one‑hot encoding, with SMOTE resampling, feature selection, and ensemble modeling using scikit‑learn and XGBoost, also this was phase one of our University's "CSAI 253- Machine Learning" course.