Li Yang, PhD's repositories
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Intrusion-Detection-System-Using-Machine-Learning
Code for intrusion detection system development using machine learning algorithms (DT, RF, ET, XGBoost, stacking, k-means, BO..)
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
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" published in IEEE Transactions on Network and Service Management.
automl_a_survey_of_state_of_the_art
AutoML: A Survey of State-of-the-Art
awesome-architecture-search
A curated list of awesome architecture search resources
Awesome-AutoDL
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
Code for intrusion detection system development using CNN models and transfer learning
MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation
Data stream analytics: Implement online learning methods to address concept drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of Automated Machine Learning (AutoML) methods for static/batch and online data analytics
awesome-AutoML-and-Lightweight-Models
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.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
LiYangHart
My GitHub profile
machine-learning-surveys
A curated list of Machine Learning Surveys, Tutorials and Books.
OASW-Concept-Drift-Detection-and-Adaptation
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 in IEEE Internet of Things Magazine.
PWPAE-Concept-Drift-Detection-and-Adaptation
Online learning methods used to address concept drift in data streams. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
github-readme-stats
:zap: Dynamically generated stats for your github readmes
markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
markedpp
Preprocessor for markdown files
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
SBU-CSE-523-524-Advanced-Project
This repository contains code related to my Masters' advanced project on Missing Data Imputation using GANs