Li Yang, PhD

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

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

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